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0e15c92073 |
feat(skills): make managed content independent of web-server disk (#18334)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents use installed skills and exact version pins during execution. > - Managed skills still depended on mutable directories on the web server. > - A replacement server could lose acknowledged edits or remove an unassigned skill whose directory was absent. > - This pull request makes immutable versions the authority for managed content and installed repository reads. > - The server can rebuild delivery files from durable content after replacement. > - This establishes skills readiness for ephemeral web servers. General server draining and workspace recovery remain separate work. ## Linked Issues or Issue Description **Subsystem affected** Skills services, shared contracts, database receipts, Skill Studio, and runtime delivery. **Problem or motivation** A fresh web server must discover, read, edit, and deliver protected installed skills using the same database, object storage, secrets, and supported application artifacts. It must not need its predecessor's files or process memory. **Proposed solution** Use `managed` ownership with a null source locator. Read installed content by immutable version. Prepare packages before a short publication transaction. Persist execution selections before materialization. Recover exact pinned runtime assets and reject deletion while active or recovering pins exist. **Alternatives considered** Reconstructing a mutable installed directory preserves the old source-of-truth ambiguity. Permanent dual writes create two competing authorities. This change uses one managed model after a bounded legacy conversion. **Roadmap alignment** This improves the existing Skills Manager, Studio, version history, and Cloud execution capabilities. The maintainer supplied the implementation contract. This does not add a separate skills product or deploy fleet changes. Related work: #18082 supplies immutable package storage. #17273 addresses edits outside the API for linked local skills; this PR keeps that source category separate. #2648 is a closed earlier ephemeral-filesystem proposal. ## What Changed - Add managed ownership and focused content publication and execution materialization modules. Keep the archive format and package storage tables. - Publish managed create, save, delete, fork, rename, restore, and catalog content with version checks. Add durable create receipts. Preserve file-save receipt responses. - Return file version identities. Keep Studio drafts after a conflict and provide an explicit reload action. A delayed reload cannot overwrite newer typing or navigation. - Persist exact runtime selections, including empty selections. Rebuild pinned assets and verify their admitted digests on a replacement server. - Preserve source access on forks and disconnected copies. Keep the existing workspace policy category for managed skills. - Add bounded conversion, eligibility, and independent verification phases. Load persisted Cloud configuration in the standalone CLI without seeding or changing it. Reject partial current versions against installed inventories; recover only complete saved content or the exact source. Document storage migration blockers and the compatible rollback floor. - Add separate-process PostgreSQL/S3 qualification and update domain, retention, policy, and UI regressions. - Pass the plugin worker manager into Studio execution, admit restricted `skill_test` mode through native Runner contracts, and preserve admitted scope across native and REST tools. Native tests cannot create ordinary tasks, browse company data, or use external tools. - Select the exact durable Studio revision even when unassigned or Beta skills is off. Persist Studio output and audit atomically with native task completion, preserving the result on replay. ## Verification - Final revision `13e8af480b88ba6fea5737bac4bd81104d604792` passed full CI: all 49 workflow jobs completed successfully ([run 41127396098](https://github.com/paperclipai/paperclip/actions/runs/41127396098)). This includes typecheck, test suites, Runner checks, browser checks and build. Greptile review 15 is 5/5 on that same revision, with zero unresolved threads. The PR is ready for review. - Local workspace typecheck and build passed after integrating master. Focused checks passed: 33 execution/completion cases, 52 Runner HTTP cases, 16 managed-content cases, 17 Studio cases, the new real-process CLI regression, map checks and UI token gates. The CLI regression proves inspection does not seed missing Cloud configuration. Server typecheck passed after that fix. - The independent-process PostgreSQL/S3 matrix passed through normal HTTP skill routes. It covers A → B → C replacement, lost commit responses, upload crashes, concurrent saves, binary contents and executable delivery. Metadata listing and warm selected delivery retain zero object downloads. Local timing measurements are recorded; they do not establish hosted latency. - Hosted A → B → C passed on the owned disposable test tenant with external Postgres, S3 and a real remote Paperclip Computer. Predecessor temporary homes were absent. C read and executed B's acknowledged managed save. New runs used repository v1 while v2 was installed. Hashes matched an independently checked exact upstream commit. - Compatible image rollback to `6518b323` passed. Studio retained the unassigned fork's C save. A fresh remote run executed the newer managed content and historical repository pin. The actual shell event confirmed expected hashes, stdout, exit 0 and mode 0555. - Runtime candidate `9200e3fcb4` deployed successfully ([Cloud run 41124147876](https://github.com/paperclipai/paperclip-cloud/actions/runs/41124147876)). The final Studio test delivered only the unassigned fork's exact v3, executed its script and persisted a successful output snapshot. Independent command-event inspection confirmed all three hashes, stdout, exit 0 and mode 0555. All 14 installations were version-backed. Independent verification checked all 25 versions: 23 remote objects, two bundled database snapshots, zero blockers. - The deployed image is `9200e3fcb4`. Later master integration, the client-only delayed-reload draft guard and the CLI bootstrap have separate automated proof. The CLI bootstrap was also exercised against the tenant's stored configuration and storage through the same read-only services. This PR does not claim that the deployed image is the final PR revision. - Live Studio checks exposed worker wiring, admission, access scope, exact selection and completion-publication gaps. They are fixed. Failed attempts remain in the evidence. The full local suite exceeded 80 minutes under host contention and was stopped. Later combined/isolated local attempts also timed out; they are not counted as passes. Full CI covers the integrated suites. Earlier CI found an obsolete restart-scope fixture, which was corrected and passed all 52 HTTP cases. - Reproduction and migration: [`doc/skill-ephemeral-web-servers.md`](doc/skill-ephemeral-web-servers.md). Source revisions, deployments, versions, run IDs, hashes and failure history: [`doc/plans/2026-10-30-ephemeral-web-skills.md`](doc/plans/2026-10-30-ephemeral-web-skills.md). ## Risks - Legacy conversion requires stopped admission and retired filesystem-authoritative writers. Pre-conversion binaries are not supported rollback targets afterward. - Cloud readiness requires remote object storage. Local provider receipts and provider mismatches remain blockers until objects are copied and verified. - Linked local sources retain filesystem semantics and are outside the cloud guarantee. - Cold reads still fetch the existing archive format. Warm runtime preparation retains the verified-cache path. - Bundled reconciliation preserves an installed head. Existing release snapshots remain selectable. An older server must not replace a newer head with its shipped files. - No production volumes, fleet defaults, or general deployment coordination change in this PR. ## Model Used OpenAI Codex, GPT-6 family, with reasoning, repository tools, code execution, and browser use. The exact backend model ID and context-window size are not exposed in this session. No subagents were used. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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f1911a4c53 |
perf(skills): move repository packages out of Postgres (#18082)
<!-- entire-trail-link-start --> https://entire.com/gh/paperclipai/-/trails/205/changes/paperclip/205 <!-- entire-trail-link-end --> ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents receive selected company skills before each turn. > - Imported skills can need files from the whole source repository. > - The current path stores those files in Postgres and reads large JSON payloads during preparation. > - This pull request stores verified packages in the configured file or object store and keeps preparation queries small. > - It also converts old rows automatically and restores missing files from the exact saved commit. > - The result reduces database traffic while preserving skill versions and repository dependencies. ## Linked Issues or Issue Description **What existing behavior does this improve?** Company skill import, version storage, and preparation before agent turns. **Current behavior** Repository snapshot bodies live in JSONB. Skill preparation can read those bodies again even when the files already exist on disk. Historical packages and native assets also need a bounded cleanup path. **Proposed behavior** Store package archives and manifests through the existing storage service. Keep version identities, receipts, hashes, and recovery metadata in Postgres. Convert legacy rows after the stored package passes read-back verification. A missing package can use legacy bytes or its exact Git commit under current repository authorization. No separate data-migration command is required. **Reason and benefit** The warm path sends no repository bodies through SQL and reads no object bytes. Cleanup runs through the existing deadline coordinator. Current versions, active runs, explicit pins, and authored content retain their protection. **Breaking changes** The normal application schema upgrade is required. Single-version and skill-file responses keep their existing shape. Version lists, current-version summaries, and test-run version summaries now contain file names and kinds without file bodies. Diff and restore fetch selected versions through the existing single-version endpoint. Older server builds must not write after conversion unless they support the new package format. The storage override and rollback limits are documented in `doc/skill-package-storage.md`. **Additional context** Related work: #15731 preserves repository dependencies; #17923 changes version-cache scheduling; #18080 changes delivery to remote Codex homes. This change owns package persistence, acquisition, and expiry. It does not replace those delivery or scheduler changes. ## What Changed - Add company-scoped archive receipts, exact-commit recovery recipes, migration deadlines, and a durable object-deletion queue. - Add bounded archive upload, read-back verification, extraction, concurrent request coalescing, and verified local caches. - Convert old snapshots and versions automatically. Keep legacy bytes when verification fails. - Recover missing files through current source authorization and the original commit. Validate repository identity, file hashes, modes, and the aggregate hash. - Expire unused recoverable Git packages and native assets after 30 days. Preserve active pins and the durable copy of authored or unproven content. - Keep warm preparation queries metadata-only. Bound file digest caches and avoid repeated body hashing when file identities are unchanged. - Extend the existing storage contract with cancellation. Register package work with the existing coordinator. Optional conversion retries retain the original bytes and may wait for ingress without blocking sleep. - Add regression tests, operating guidance, a deep trace, benchmark receipts, and an optional maintenance command. ## Verification ### Final master integration and review repair — October 29, 2026 Current head: `a6065424249e763dfeac37161f1b52a9f25bd9b7`. Commit `f8bbdd3dbd` resolves the conflicts with master `76a796e964`; the final two commits repair the Apex deletion findings below. - Keep both package-maintenance and version-retention notifications in their write transactions. - Keep the shared run-pin predicate and master's controller-lease deadline metadata. Package expiry reads the updated protected-version result. - Preserve every master migration entry. Generate migration **0415 (`0415_zippy_zemo.sql`)** after master's 0414. Its skill SQL is byte-for-byte unchanged from the previously tested idempotent migration. Retain only the five newest schema snapshots. Migration numbering and safety checks pass. - Repair failed file/folder deletion: preserve a complete temporary subtree until transaction commit, restore on upload or SQL failure, and restore callback failures before releasing the mutation lock. Both PostgreSQL regressions reproduced missing files before the fix and now pass. They cover binary data, executable permissions, empty folders, unlisted files, unchanged database/version rows, successful retry after upload-claim expiry, and historical reads. - Reconcile lost commit replies under the same advisory and row locks. Check the saved version and source identity before restoring. Keep committed deletions intact and preserve backups when the database outcome is unknown or a newer edit exists. Four real-PostgreSQL outcome tests pass; the prior code failed three of them. - Full workspace typecheck and production build pass on the final commit. All **204** focused PostgreSQL package/cache/retention/authoring and filesystem-boundary tests pass, with none skipped. - Apex review **18 passes 5/5**, with zero new comments on the exact final head. All **34** review conversations are resolved. - [Final-head CI](https://github.com/paperclipai/paperclip/actions/runs/40914116508) completes successfully on attempt 2. The head has **55 successful checks**, two neutral reports, two skipped checks, and a successful Snyk status. No checks are pending or failing. All eight browser shards pass. - Runner Vitest 2/2 timed out once in the unchanged ACPX controller-replacement fixture. The same job passed on the preceding commit. One unchanged CI retry passes all five ACPX recovery cases, **2,253** Runner package cases and **126** native server integration cases; their standard one and five skips remain. The initial timeout's root cause is not established. Local diagnosis also hit the fixture's eight-second session.open timeout with an authenticated Runner; no local Runner pass is claimed. - Both full local `pnpm test:run` attempts were stopped when Apex identified deletion defects and source repair became necessary; neither is claimed as a passing full local run. The final **204** focused tests, full workspace typecheck, and production build pass. Full-suite acceptance uses the final-head CI jobs. The superseded merge-head CI included runners terminated by shutdown signals; each source repair started a new full run. - Auto-merge is enabled for squash merge. The final head is conflict-free and all checks pass. GitHub's active master ruleset still requires a code-owner approval for the dependency files. The existing review requests are with `devinfoley`, `nickyleach`, and `forgottendev`; no policy bypass was used. - The earlier hosted stress and full native receipts below remain tied to `a2e597d800`; they are not relabeled as a deployment of this final integration. The earlier local PostgreSQL startup failure remains recorded below; PostgreSQL ran successfully for this integration verification. ### Full native skill execution — October 29, 2026 The full native-agent acceptance gap is closed on candidate `a2e597d800eb989d565780e7aa947d5368676444`. Two qualifying native turns used OpenAI API / `gpt-5.4-mini` in real Daytona sandboxes, on the same disposable hosted TEST tenant as the stress test. A follow-up on the same task consumed a newly saved skill version. The task text asked for the assigned skill workflow. It did not contain the proof nonce or expected receipt. The assigned authored skill contained a Python verifier and a random package-local nonce. The agent read the actual installed skill files and executed that verifier against the imported, automatically converted 1,360-file repository package. It checked the repository file count and reference/binary bytes, and directly executed the repository's executable probe. Independent verification matched the emitted JSON to the nonce and expected byte hashes. The agent persisted the same receipt as its task response; native finalization committed, workspace finalization succeeded, and task state became Done. | Qualifying turn | End-to-end run time | Recorded skills.prepare | Repository files | Binary hex | Shell receipt SHA-256 | |---|---:|---:|---:|---|---| | Initial task | 47.881 s | 1822 ms | 1360 | `00ff07800a` | `a1deb30dc095f2306c7aa9cc5ec396da12c68961cf5b809f4d7c20f7fc68493b` | | Corrected follow-up, new nonce/version | 37.974 s | 377 ms | 1360 | `00ff07800a` | `dbcdc33fa1376b4edc136feae1cdf770560a73292467e93619efdda20e4282a7` | Both successful shell receipts reported `probe: STRESS18082` and `assetSha256: e8ea7a2f15f7bb3b332a46adbef848465884c8996595aa234748befd544d1f3a`. Their proof nonces, selected version IDs and receipt hashes differed, and both ran on the same task. These are observed timings, not latency SLOs; they include real provider work. The service stress-test timings remain a separate measurement boundary. Earlier failures remain in the evidence: - The original five-minute Daytona allocation timeout never reached model execution. After normal owned-stack restore, its durable cleanup record was `expired` / `success`. The cause of that original allocation timeout remains unknown; a later success establishes recovery only. - Initial continuation setup used unsupported generic agent-update fields and returned HTTP 409 before dispatch. Setup was corrected to use the supported skill-assignment and versioned instruction commands. - The intervening completed native turn read repository bytes and ran the probe, but omitted the verifier JSON under the older test agent's overly-specific instruction file. Its strict receipt validator failed; it is not counted as a qualifying turn. Correcting the test agent's instruction file and sending an explicit task-scoped wake produced the qualifying follow-up above. - The pinned application's immutable rate card omits `gpt-5.4-mini`, so completed usage triggered the normal block-on-unpriced budget policy. Supported append-only accounting corrections estimated the three completed runs using the [official OpenAI model rate card](https://developers.openai.com/api/docs/models/gpt-5.4-mini): $0.75 input, $0.075 cached input, $4.50 output per million tokens, assuming standard processing. Estimates totaled 12.482655 cents. Original usage and missing-price records are preserved; the $1 hard stop and unpriced-usage guard stayed active. - Model shell attempts included a missing `xxd` command and incorrect guessed file paths. Those failed calls and subsequent successful actual verifier calls remain visible in complete event streams. No zero-tool-error claim is made. No product source changed during this continuation. The previously measured contention, cold-start and memory limits remain. The later merge resolution is covered by the separate integration checks above; these hosted receipts qualify their recorded candidate. ### Hosted stress test — October 29, 2026 **Hosted acceptance:** full native-agent execution and a changed-skill follow-up pass on the recorded hosted candidate. The final integration section above records the subsequent conflict resolution and its separate checks. Tested baseline `929e840595c8933ca485ac7a2e99413e1e11ca64` and this exact candidate sequentially on one disposable TEST tenant, with external Neon PostgreSQL and actual S3. The fixture contained **1,360 files / 22.4 MB / ten skills sharing one repository**. Measurements cover deployed skill-preparation and native-context services in an adjacent diagnostic process, not a complete agent turn. The container had **24 vCPU / 24 GB**. | Warm workload | Median before → after | p95 before → after | DB returned value bytes/preparation before → after | |---|---:|---:|---:| | One skill, serial | 1,060 → 125 ms | 1,303 → 155 ms | 22,610,389 → 1,771 | | One skill, four concurrent | 4,415 → 297 ms | 5,143 → 328 ms | 22,610,389 → 1,771 | | Ten skills, serial | 5,723 → 535 ms | 6,057 → 600 ms | 224,739,030 → 10,671 | | Ten skills, four concurrent | 24,410 → 1,986 ms | 24,833 → 2,221 ms | 224,739,030 → 10,671 | - Candidate warm preparation performed **zero S3 GETs**. Ordinary-pool queries fell from 16 to 9 for one skill and 61 to 9 for ten, excluding dedicated lock connections. DB numbers measure returned values before Drizzle decoding, not wire bytes. Baseline/candidate sample counts were 30/100, 32/100, 5/50 and 8/48 respectively; the small baseline ten-skill samples are comparative evidence, not SLO estimates. - **Application-UID soak:** 800 ten-skill preparations over 10.3 minutes, four workers paced by 2.5 seconds; **zero failures**, median **559 ms**, p95 **775 ms**, p99 **910 ms**, zero warm S3 reads. All 726 accompanying health/company-list requests returned HTTP 200. Their end-to-end p95 was 569/502 ms, including network latency. The probe overlaps most of the soak. Soak DB-response capture was limited to its first 60 seconds. - **Important remaining costs:** an unpaced 16-way ten-skill burst had p95 **8.32 seconds** because company-level preparation serializes. Cold preparation took approximately **1.1–2.5 seconds** for one skill and **7.4–10.0 seconds** for ten. Ten-skill diagnostic RSS remained about **1.17 GiB** (baseline 1.18 GiB), and the soak peaked at **1.35 GiB**. A concurrent whole-container sample was 3.45 GB. This does not establish suitability for a small-memory host or eliminate per-entrypoint native asset duplication. - **Upgrade without a manual data migration passed:** legacy snapshot JSON shrank from 22,465,691 bytes to `[]`, with a stored package and zero pending conversions. - **Recovery passed:** sixteen concurrent cold requests coalesced into two S3 GETs; full bytes/binary/executable modes matched; same-size corruption repaired; an injected storage failure preserved warm access and failed cold access safely. A disabled public-Git source denied recovery, and after the actual five-minute backoff its exact SHA reconstructed all 229 files. Cross-company descriptor access was denied. Private-Git credential revocation was not tested. - **Retention passed:** reclaimed 27,754,496 allocated cache bytes, deleted an unreferenced package row and both objects, preserved aged authored history, and expired/reacquired reconstructible Git content. A version pinned by the failed native run was correctly retained. Only owned fixture timestamps were aged. - **Browser UI passed:** authored skill creation, saved edit surviving reload, version history, and restoration of earlier content. - **Initial native attempt (superseded by the qualifying turns above):** one real run failed at Daytona allocation after five minutes (`setup_failed`), before any model execution. Provider cleanup also reported failure. That attempt does not count as a passing native turn. Its receipt and all evidence remain preserved; its cleanup later recorded success after normal restoration. - Initial A/B commands ran as SSH root. Diagnostic-owned lock/cache permissions caused one setup HTTP 500 and the first UID-1000 soak to fail; exact fixture paths were repaired. The final soak, retention and recovery ran as application UID 1000. A fresh UID-1000 one-skill batch also passed (30 samples, median 116 ms, p95 321 ms, 1,771 DB value bytes/preparation). Earlier harness-export, SSH, npm provenance, backoff and UI-wait failures remain recorded alongside their successful retries. - Private evidence includes raw timings, assertions, HTTP probes, screenshots and failure/cleanup receipts. Initial failed-campaign cleanup suspended and retained the owned TEST tenant and released the shared QA account lease at **15:22:41 UTC**. The tenant was subsequently resumed under its existing ownership for the native execution qualification above. Final cleanup completed at **15:53:09 UTC**: the account lease is released and the tenant is suspended/retained under the original October 30, 12:24:52 UTC retention deadline. Its separate stack lease remains held; no active or pending-cleanup environment lease remained. The original retention window is deliberately preserved even after successful continuation. - Earlier hosted-tested head: `a2e597d800eb989d565780e7aa947d5368676444`, integrated with master `929e840595`. The earlier merge conflicts were resolved at this head. [Current-head CI](https://github.com/paperclipai/paperclip/actions/runs/40884087629) passed; all checks are complete with 55 successes, two neutral reports, two skips, and no failures. [Apex review 15](https://github.com/paperclipai/paperclip/pull/18082#issuecomment-6480257258) passed 5/5 with zero findings on this exact head. All review conversations are resolved. - Ten real-filesystem boundary cases and server typecheck pass locally for the security fix. Coverage includes cache roots, descendants, individual files, symlink aliases, recursive ancestors, a future concurrent cache fill, and allowed sibling directories. [Current-head private-project integration tests](https://github.com/paperclipai/paperclip/actions/runs/40884087629/job/123483306405) passed all 29 cases, including authorized and unauthorized imports of a cached private package. Full typecheck, build, server suites, all eight browser shards, and Runner checks passed in current-head CI. Local database tests could not run because PostgreSQL could not initialize; this limitation is recorded below. - The earlier generated migration preserved the newest five snapshots. The final integration renumbers its unchanged SQL to 0415. Migration safety/numbering checks pass. Its SQL is byte-for-byte identical to the previously verified idempotent skill migration; repeated application on this latest schema was blocked by the same local database startup failure. - The broader verification before the final migration-only rebase passed 1,025 package, lifecycle, remote-launch, native-session, and asset-retention tests, 52 focused UI tests, full workspace typecheck/build, token gates, and map checks. The linked complete CI run passed before the latest focused fixes. - A disposable MinIO instance passed multipart upload, verified read-back, and cold restoration of an 18 MB archive. - Twenty warm samples with a synthetic 1,349-file, 22.8 MB repository retained five metadata queries and zero object reads. Median preparation was 256 ms for one selected skill and 691 ms for ten, with 5 ms emulated network delay each way. These are local measurements, not production latency guarantees. - No production instance was changed. Earlier verification failures and their disposition are retained below. <details> <summary>Earlier failures, review findings, fixes, and rerun evidence</summary> - The first CI pass found a stale inventory-span expectation and a missing repository-read span. Both are fixed; all three observability tests pass. One browser test copied page text into its YAML parser after reload; its first unchanged-head retry passed, but the race recurred after rebasing. The test now waits for the renamed URL and completed reload before copying the editor, retaining its original assertions. The earlier full local suite did not complete cleanly: it reported setup timeouts and assertions, while isolated relevant reruns passed. The complete current-head CI run closes that broad verification gap. No production instance was changed. - The first Apex review scored 2/5 and identified six issues. The fixes protect authored history even when it shares an in-flight Git upload, recheck upload expiry during orphan deletion, bound failed-upload cleanup, retain per-version kind/encoding metadata, add sanitized failure diagnostics, and correct the migration guide. The final focused run passes all 140 tests; the preceding eight-file run passed all 149 tests, including local storage and S3 diagnostics. Server typecheck and migration safety/numbering checks pass after the fixes. The second Apex review scored 1/5 and found unbounded maintenance storage calls and mismatched package/Git batch limits. Those are fixed with a 30-second cancellable cleanup deadline, shared 100 MiB/10,000-file scanner and storage limits, and bounded Git read batches. The proposed manual lockfile edit was rejected with evidence of the enforced CI-owned lockfile policy. All 19 storage/recovery unit tests and server typechecking pass. The new database-backed cleanup/conversion tests were locally skipped because the host exhausted its PostgreSQL semaphore capacity (confirmed directly by initdb). That gap is closed by current-head CI: [package-store tests](https://github.com/paperclipai/paperclip/actions/runs/40771320775/job/123109300889) pass all 18 cases and [package-worker tests](https://github.com/paperclipai/paperclip/actions/runs/40771320775/job/123109301157) pass all 7, with no skips in either suite. The corrected YAML browser shard passes. A separate planning-fixture test failed its cleanup DELETE with an activity-log foreign key violation after its behavior assertions passed; its one unchanged-head retry passed. The third Apex review scored 1/5 and identified a one-slot pool deadlock, projected path limits, cleanup holding the preparation lock during archive reads, and a publication/expiry race. These are fixed with transaction-local reads, prefix-aware bounds, isolated verification, and shared package row locks with a publication grace. The separate Paperclip review also found stale historical inspection, eager history downloads, and conversion retries blocking sleep. Those are fixed. Local PostgreSQL capacity recovered: the new database regressions ran, including the one-slot fork, paused storage during a warm turn, and a locked publication during expiry. The expanded run passed 144/145 tests; its remaining assertion still expected file bodies from the version list and was updated to fetch the selected version. The corrected company-skill suite passes all 81 tests, and the final package/projection run passes all 27. All 52 focused UI tests pass after updating their query-provider fixtures; the first UI run exposed a fixture remount, and the follow-up exposed an editing syntax error, both corrected. Full workspace typecheck and build, token gates, and map checks pass. The sandbox initially blocked the build tool’s local IPC socket; the authorized build rerun passed. Master then claimed migration 0401. The branch is rebased on |
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39279aa34f |
feat(ui): shared error, connectivity and query foundation for disconnects (#15754)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The board reads API data and keeps the current task on screen. > - A restart or temporary network failure can interrupt those reads. > - Separate page error handlers can hide cached data or expose raw server codes. > - The app needs one connection state, readable error copy and a consistent read policy. > - This change provides that foundation and moves affected read surfaces onto it. > - The dependent write layer in #17960 preserves edits and submissions across the same failures. ## Linked Issues or Issue Description **What happened?** Temporary API failures could replace loaded content with errors. Different surfaces handled the same outage differently. Some showed raw server codes. A successful query to an unrelated service could also falsely report that Paperclip had recovered. **Expected behavior** Keep cached content visible. Show one connection banner during sustained trouble. Confirm recovery through the Paperclip health probe or its WebSocket. Retry transient reads and show readable errors for permanent failures. **Steps to reproduce** 1. Open a populated task or workspace page. 2. Interrupt API requests with a 503 or a dropped connection. 3. Keep an unrelated external request in flight. 4. Confirm that cached content remains and that the external result cannot clear the outage. 5. Restore the API and check that reads refresh. The write layer first merged into this feature branch in #15769 now has its own dependent PR, #17960. This PR contains the shared foundation and read changes. Merge this PR first. ## What Changed - Classify API errors and provide readable error copy, including non-JSON proxy responses and Retry-After handling. - Use one connection store and health probe with bounded backoff. Confirm recovery from the server health probe or live-updates WebSocket. - Pause reads while disconnected, retry transient errors, and refresh active reads after recovery. - Keep cached data visible through shared query views and affected page, panel and plugin read surfaces. - Add one app-level connection banner and support the pending-write count consumed by the dependent write layer. - Add a query-error rendering guard. Call it directly from the existing CI step. Update development documentation. ## Verification - Historical-chat lookup now follows the same ready/stale roster state as rendering. Three regressions fail before the fix; the six new cases pass after it, including working Retry, fresh data, no-cache error, permanent 403 and company isolation. All six focused query/recovery suites pass 200 tests. Final-commit CI passes and Apex is 5/5 with no unresolved findings. Canary Dry Run initially refused a preview version that was already on npm. It passed after one rerun with fresh registry metadata; no check was disabled. - Integrated current master and retained both transcript interest registration and connectivity reporting on socket open. The seven focused recovery/query suites pass 288 tests, and UI typecheck and production build pass. All 9,451 UI tests across 799 files pass on the merge commit. Final-commit CI passes and Apex is 5/5 with no unresolved findings. - Current head `70d9335d732219352ef0f98414439766bbcb33df`: all hosted CI checks pass. Apex is **5/5** on that head with no unresolved findings. The branch has no merge conflict. GitHub still requires code-owner approval. - The foundation passes 9,430 UI tests in 804 files. After integrating current master page paths, 190 focused page tests pass. - Two unrelated-success regressions fail before the latest fix. With the fix, 62 focused UI tests, all six guard tests and UI TypeScript pass. - The composed foundation and write layer pass **9,505 UI tests in 808 files**, UI TypeScript, a production UI build, and query-error, token and map guards. - A real Chromium journey on the composed source injects a 503 during title save. The loaded task stays visible; one reconnect banner appears; the edit saves after recovery; another task stays unchanged; the saved title survives reload. - Full recursive local checks were not repeated because Runner compilation exhausted local disk during another repair. Hosted checks must pass before merge. No new staging deployment is claimed. - Latest review follow-up: a cached CaseDetail now survives a failed HTTP 429 refresh. Its page regression fails before the fix and passes after it. Eighty focused foundation tests, UI TypeScript, build and guards pass after that change. - Earlier CI evidence is retained: several foundation jobs received a runner shutdown signal together. The write-layer head also failed an unchanged Runner descriptor close test with `provider_transport_failed`. The same Runner source passed that suite in the foundation run. New CI runs cover the updated heads; no check or assertion was weakened. ## Risks - Shared retry defaults change the time before transient read errors appear. Permanent errors still fail promptly. - ApiError.message now contains readable copy. Callers that compare raw codes must use ApiError.code. - Cache success can come from another service or local data. It must not confirm Paperclip recovery. - Durable writes are reviewed separately in #17960. This PR does not change database or mutation contracts. ## Model Used Anthropic Claude Opus 5.5 (`claude-opus-5-5`) produced the original work with tool use. OpenAI Codex, GPT-6 family, assisted with restoration, integration, tests and review fixes. The Codex session does not expose its exact serving model ID or context window size. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: devinfoley <139239+devinfoley@users.noreply.github.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Amy (Opus) <claude@users.noreply.github.com> |
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7b9334cd10 |
Draft: Build agent-ready design proposal system (#16875)
## Thinking Path > - Paperclip helps people manage AI agents and their work. > - People need consistent UI patterns to review and control that work. > - The current board uses related layouts and controls with different spacing, type, and behavior. > - That drift makes it hard for a designer or an agent to build a new page from a reliable reference. > - Storybook can show the shared patterns and the states they need to support. > - This pull request adds design proposals, a local sandbox, and reusable UI controls so people can compare the patterns in context. > - The benefit is a clearer design system that agents can use to build consistent UI. ## Linked Issues or Issue Description **Subsystem affected** `ui/` — React board UI and Storybook. **Problem or motivation** Board pages repeat visual and interaction decisions. Storybook did not provide a complete reference for task views, conversation states, typography, toolbars, tabs, and light/dark colors. People could not compare a proposed pattern with the running board in one place. **Proposed solution** Add a staged Design Proposals catalog with foundations, components, layouts, and page specimens. Add an opt-in sandbox. Reuse production components where possible. Include synthetic conversation states and shared controls so reviewers can compare and refine them. **Alternatives considered** Separate static mockups would not show keyboard behavior, responsive layout, or real component states. Rebuilding each page only in Storybook would allow the reference to drift from the board. **Roadmap alignment** This improves existing board UI and Skills Manager surfaces. It does not add a new control-plane capability. ## What Changed - Added dark and light color references, typography and conversation specimens, and component stories for buttons, tabs, toolbars, sidebar, popovers, activity, and task lists. - Added a local design sandbox with synthetic task conversation playback and representative states. - Shared collection toolbars and navigation patterns across task, agent, project, routine, skill, connector, and artifact pages. - Added the streamlined Skills tabs and a My Skills collection that uses the shared skill cards. - Restored saved-thread access during synthetic playback, kept connector searchbox semantics, and updated reproduction checks after moving trial stories. - Documented the proposed patterns and added focused UI, catalog, and browser checks. ## Verification - `pnpm check:token-gates`, `node scripts/check-maps.mjs`, and `node scripts/storybook-catalog.mjs --check` passed. - Full workspace `pnpm -r typecheck` and `pnpm build` passed after merging master. After the review fixes, focused UI typecheck, `pnpm build-storybook`, 23 Skills Sources tests, and all 15 Storybook typography browser tests passed. - Focused task-thread and system-notice suites passed: 251 tests. Connector Browse passed 84 tests; the connector, attachment, recovery, and Storybook flyout browser journeys passed locally. - A local full Vitest run hit one intermittent chat-channels integration failure; that test passed in isolation. GitHub CI [39347996059](https://github.com/paperclipai/paperclip/actions/runs/39347996059) passed on the exact latest commit: 55 successful checks and two skipped draft-only Storybook jobs. - Greptile reviewed the exact latest commit at 5/5 with no new comments or open review threads. GitHub reports the branch as cleanly mergeable. ## Risks - This PR changes 206 files and exceeds the repository's 100-file review target. Review by commit and consider a scoped split before merge. - Design Proposals are staged references. Fixture interactions do not prove API behavior, permissions, or provider execution. - UI changes to shared controls may affect pages outside the proposal sandbox. Focused browser checks and the full CI matrix passed. ## Model Used - OpenAI Codex, GPT-6 family. The exact runtime model ID and context window are not exposed in this session. The model used reasoning, code execution, browser inspection, and local tests. Earlier branch commits were also AI-assisted in this Codex conversation. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details available in this session) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above where applicable - [x] I have either linked existing issues or described the issue in-PR following the relevant issue template - [x] I have not referenced internal or instance-local Paperclip issues or links - [x] My branch name describes the change and contains no internal ticket id - [x] I have run focused tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Scott Tong <scott@scotts-mbp-m5-max.local> Co-authored-by: Paperclip <noreply@paperclip.ing> |
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144083fd48 |
fix(interactions): wait for workspace readiness before enabling approval (#14893)
## Thinking Path > - Paperclip lets people manage AI agents and review their work. > - Task confirmations must use the work produced by their source run. > - The server blocks approval while that run still needs to sync its workspace. > - The card currently enables approval before that check can pass, so an ordinary click produces an error. > - This PR exposes the existing readiness check and shows “Preparing approval…” with acceptance disabled. > - The card refreshes itself and enables approval when the source workspace settles. ## Linked Issues or Issue Description **What happened?** A confirmation appears while its source run is still preparing or syncing its workspace. Its enabled approval button returns a conflict asking the user to retry after syncing. **Steps to reproduce** 1. Run an agent in an isolated workspace. 2. Have it create a confirmation before workspace finalization completes. 3. Click the approval button while the source workspace is still active. **Expected behavior** The card explains that approval is preparing. Acceptance becomes available automatically when the same server check permits it. Reject and revise remain available. Related work: #10770 handles this conflict after a click with retries. #9520 proposes changing the workspace acceptance barrier. This PR preserves that barrier and exposes readiness before the click, including in compact task chat. It preserves the terminal-finalize behavior from #10099. ## What Changed - Add an optional, read-only `acceptanceBlocker` to interaction responses. Readiness uses the existing source-run workspace predicate, with one check per pending source run. - Disable acceptance and show a shared preparation notice in classic and compact confirmation cards, including checkbox and secret-binding confirmations. - Refresh preparing cards every two seconds in task detail, attention, pipelines, and Skill Studio. Restore each surface's previous polling cadence when preparation clears. - Preserve live tool reviews, questions, rejection, revision, and the server acceptance barrier. No automatic acceptance occurs. - Document the preparation state and cover readiness, terminal sync outcomes, unrelated runs, historical cards, and automatic refresh. ## Verification - Focused service, card, query-refresh, and helper tests: 217 passed across five files. - `pnpm -r typecheck`: passed. - `pnpm build`: passed. - `pnpm build-storybook`: passed. - `pnpm check:token-gates`: passed. - `pnpm test:run`: incomplete locally. Stopped after about 17 minutes once it reproduced seven existing environment failures: two Slack tests and two email tests lack ancestor-directory skill fixtures; three company-skills tests fail on macOS runtime-cache staging permissions. These are outside this change. The full CI test matrix passed. - CI: all 53 checks passed; two optional Storybook jobs were skipped. The branch has no conflicts with `master`. - Greptile: 5/5 on commit `8a6f216d8d`, with no review threads. - Reviewed added lines and new files for credentials, private URLs, internal task references, user paths, and run artifacts. None found. ## Risks - No database migration or change to acceptance authorization. Readiness is advisory; the server still enforces its existing gate at acceptance. - An open preparing card adds a read every two seconds. This cadence stops after readiness clears; historical cards add no workspace checks. - Failed or stale finalization retains the existing server behavior. This PR does not change recovery policy. ## Model Used OpenAI GPT-6 through Codex. The exact serving model ID and context-window size are not exposed in this session. Used reasoning, repository inspection, tool execution, and automated tests. No sub-agents. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass (217 focused tests; full local-suite limitations are recorded above) - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge Co-authored-by: Paperclip <noreply@paperclip.ing> |
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d432dc7fa3 |
Add GitHub-synced skill sources (#14713)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Company skills supply instructions and files to those agents. > - GitHub imports already exist, but users cannot manage repositories as skill sources. > - Repository refresh also needs caller-authorized access and complete local packages. > - This pull request adds Sources inside Skills and reuses GitHub connections from Apps. > - Installed snapshots let agents use skills without fetching GitHub during a run. > - Manual refresh preserves skill identity and leaves failed imports on their last good version. ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting: skills UI, server, database, shared contracts, and runtime materialization. **Problem or motivation** Users keep skills in GitHub repositories. They need a clear way to select, import, and refresh those skills. Existing imports do not expose repository management or consistently preserve supporting files. **Proposed solution** Add company-scoped skill sources. Browse repositories from all accessible GitHub connections, or paste a public repository or branch URL. Select whole skill packages, inspect included files and reference warnings, and install complete, immutable snapshots. Refresh each source manually. **Alternatives considered** Project repository settings hide the workflow from Skills. A second GitHub connector would duplicate credentials and grants. Upstream editing and PR creation are separate work. **Roadmap alignment** This implements the Skills Manager direction in ROADMAP.md. The maintainer requested this scope and reviewed the component and full-app journey stories before implementation. Related reports: Refs #10285, Refs #10949, Refs #13464. Related work: #14356, #13656, #9268. ## What Changed - Add source and entry records, an idempotent migration, company-scoped APIs, and legacy GitHub import adoption. - Reuse current caller grants and credential refresh. Combine and deduplicate repository inventories across accessible connections. Pasted public URLs also prefer the active user’s authorized connections. Tokens stay in the Git child environment, never argv or disk. - Fetch a shallow Git snapshot at one immutable commit. Scan the full local tree, including hidden and nested folders. Read Git objects without checkout or archive transformations and enforce nested package boundaries. - Bound Git downloads to 128 MiB and three minutes. Cancel active process groups and remove incomplete downloads. Preserve cancellation and deadlines while progress drains; close stalled HTTP progress streams after 30 seconds. Reuse caller-scoped temporary snapshots for preview/import after reauthorization. - Index repository package boundaries once and cap expanded work at 1,000 packages, 10,000 files, and 100 MiB, including repeated copies of shared blobs. Bound path depth and the shared path index. Discovery keeps audited manifests without retaining all package bodies. - Resolve moving branches before fetching so unchanged discovery reuses caller-scoped snapshots. Limit active scans, scan frequency, and new downloads per caller and company; quotas apply before metadata reads and across connections, and cached scans do not consume the download quota. - Store complete versions with script content, binary bytes, and executable modes. Preserve these through copies, runtime caches, and runner packaging. - Stage downloads before publication. Use source leases, revision checks, and transactional activity records. Keep installed versions after failures, upstream deletion, deselection, and disconnect. - Add the approved import flow, Sources page, selection tree, provenance, read-only Studio behavior, and saved return from GitHub setup. - Add package manifests, commit-pinned file previews, and separate runtime requirements and reference warnings. Supporting files are included together; nested skills remain independently selectable. Preview requests reauthorize the caller and re-audit package content. - Show installed skills as compact links beneath each source. Repository titles open GitHub. Keep Refresh, Select skills, and Disconnect source in a three-dot menu. Source rows omit the branch, imported count, and refresh timestamp; action alignment and repository titles work at narrow widths. - Stream discovery metadata over an opt-in NDJSON response. Show measured Git download progress and real package/file counts, animate newly checked skills, support cancellation, and require a complete scan before selection. Keep the existing JSON API. - Retain component stories and add a separate full-app journey story group. Include fixed progress states and interactive scan, large-repository, interruption, and saving stories. - Update Skills documentation and product contracts. Suppress private GitHub skill references in telemetry. Privacy review requested for the telemetry changes. ## Verification - Local repository typecheck, full build, token gates, and Storybook build passed during this work. Focused transport, authorization, scanner, persistence, route, and UI tests pass. The final UI refinement passes all eight focused UI tests, UI typecheck/build, and token gates. The scanner resource and repeated-discovery fixes pass 132 focused scanner, transport, authorization, source-service, route, and rate-limit tests, plus server typecheck/build. Full-suite verification comes from CI; the older full local Vitest run was stopped after unrelated chat failures and a font-test failure, all of which passed in fresh focused runs. At commit `1098d5996`, all 54 active checks pass; two optional Storybook jobs are skipped. CI covers repository typecheck, build, the full test suites, browser shards, and the canary dry run. Greptile is 5/5 with no open findings; the security scan also passes. - Adversarial scanner tests verify repeated-blob byte accounting with and without declared sizes, package/file/path caps, one-time repository indexing, metadata-only discovery audits, and nested package boundaries. Additional tests cover branch movement, snapshot reuse, caller/company quotas, isolation across connections, active-lease cleanup, quota recovery, and rejection before any metadata API call. - Real Git tests verify hidden paths, exact binary bytes, executable modes, export-ignore preservation, symlink/submodule reporting, pinned commits, caller-scoped cache reuse, cancellation, cleanup, and credential isolation. Regression tests hold both download slots with permanently blocked progress callbacks, verify timeout/cancellation cleanup and retry, and exercise HTTP backpressure cancellation. Access tests cover automatic public-URL connection selection and revoked grants. Database tests verify company and grant audiences. - Live isolated browser test: the public `anthropics/skills` scan now completes and discovers all 20 skills without connecting an account. Imported canvas-design with all 83 files, opened it from Sources, and verified the installed binary-font preview/download control. Package previews also expose the complete file inventory before import. Cancelled an active Git download and retried successfully to all 20 discovered skills; the browser displayed measured download progress. The current audits reject four other packages; eligible selections remain importable. - Browser checks verify the simplified source rows at desktop and narrow widths, keyboard navigation into the actions menu, Refresh from the menu, selection, and fixture disconnect with installed skills retained. Storybook includes a menu-open checkpoint and a 320px layout. - Storybook includes receiving/preparing download checkpoints and a timed full-app import journey, plus cancellation, retry, large-repository, and saving states. Streaming tests cover split UTF-8 frames, incomplete streams, late responses, cross-company requests, HTTP errors, and JSON compatibility. - Earlier live acceptance on this PR imported `stitch-skill` with `DESIGN.md`, assigned it to an agent, disconnected its source, and ran a successful Studio test that read both installed files. An editable copy changed independently. Both Skills variants, mobile selection, and return from GitHub setup were exercised. - Private access, revoked credentials, OAuth success return, binary/script preservation, concurrent refresh, transaction rollback, version pins, and legacy adoption have automated coverage. A real private-repository OAuth grant was not created during this test. ## Risks - The migration groups recognizable legacy imports without provider calls. Their first successful refresh completes the local package snapshot. - Reference checks are advisory. They cover Markdown links and explicit relative resource paths, not arbitrary runtime dependency graphs. Preview text is capped at 64 KiB; imported bytes remain complete. - Git must be installed on the server. Shallow fetches still download the branch snapshot, including files outside selected packages. Downloads have size/time/concurrency limits. Temporary caches are bounded and caller-scoped. GitHub API quota still applies to repository metadata and the connection picker; content no longer uses per-file API requests. Failed scans retain installed content. - Sources depend on the current caller's GitHub access. A saved connection does not grant access to another person's token. - GitHub script support and immediate manual refresh are explicit maintainer-approved requirements. The operator trusts the selected repository and accepts upstream script and executable-mode changes on refresh. Static audits are not a sandbox or a guarantee of safe code; agents may later invoke installed helpers under their runtime permissions. Import and refresh do not execute scripts, hooks, package installation, or builds. Raw URL and skills.sh imports keep their prior script restrictions. - Source originals remain read-only. Refresh affects subsequent unpinned runs; explicit pins and active runs retain their versions. - The telemetry change removes source-managed GitHub identifiers from skill-reference events. It introduces no event or field. Please review the privacy boundary. ## Model Used OpenAI Codex, based on GPT-6, with reasoning, code execution, and browser tools. The exact serving model ID and context-window size are not exposed in this session. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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1ef3b08714 |
feat(ui): integrate agent personas across the app (#13171)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - A stable agent persona is useful only when the same identity appears across the app. > - Lists, task messages, selectors, and activity feeds need inexpensive static avatars. > - Onboarding and agent headers need a larger character with expressions and pointer tracking. > - This pull request connects the persona foundation to those existing views and preserves onboarding draft assignments. > - Full-page stories and Linux checks make the placements and performance contract reviewable. ## Linked Issues or Issue Description **Problem or motivation** Agents need a stable visual identity in lists, tasks, onboarding, and configuration. External tools also need an image URL for that identity. **Proposed solution** Assign each agent a permanent palette from a fixed ClipLab character library. Store the assignment on the agent. Render and cache preset PNG URLs on demand. Use static images in dense views and one animated character in larger placements. **Alternatives considered** A generated image bundle requires a separate asset build. A live renderer in every avatar adds unnecessary work in large lists. Arbitrary uploaded images do not provide the requested shared character system. **Roadmap alignment** This improves agent identity across existing control-plane views. It preserves agent permissions, company boundaries, and status labels. ROADMAP.md has no separate ClipLab persona milestone. Related approaches: #2422 adds configurable image URLs and DiceBear generation; #5578 adds optional uploaded avatars. This work uses a fixed, versioned character library and preset URLs. ## What Changed - Replace agent icons with static persona images across lists, the sidebar, org charts, tasks, comments, selectors, activity, and dashboard views. - Put one animated character in the agent header. Let it follow the pointer across the page, with reduced-motion and touch fallbacks. - Add larger padded characters to agent creation. Keep the palette stable across draft refreshes and connection retries, then reveal it after success. - Pass appearance through shared projections rather than fetching each agent separately. - Add real full-page Storybook examples for the agent list, overview, task, dashboard, new-agent dialog, and connection page. - Add Linux screenshot, clipping, density, and 500-avatar performance checks. ## Verification - `pnpm -r typecheck`, `pnpm build`, and token gates pass on the rebased tree. Persona lifecycle tests pass. - The rebased feature passes 38 Linux screenshot/performance checks, including both display densities, corner pointer positions, and the no-WebGL/no-live-download contract for 500 avatars. - The final Linux persona suite passes all 38 visual, lifecycle, density, and full-page checks using the standard Storybook configuration and real on-demand avatar endpoint. - Final local focused verification: 45 avatar/native-recovery tests pass; UI identity/routine tests, typecheck/build, token gates, and Storybook build pass. - Current-head CI passes: full workspace/server tests, all serialized server groups, typecheck/release checks, build, canary validation, and end-to-end shards. The build passed after retrying a native-runner concurrency-test failure; its three targeted cases also pass locally. - Manual inspection covered stable identities in the app, header placement, full-page mouse tracking, onboarding size, and task/dashboard placements. ### Screenshots Linux captures use synthetic Storybook fixtures. Full-page captures use reduced motion. The live character, mouse tracking, and disposal are checked separately. <details> <summary>Agent overview with the character in its header</summary> <img src="https://raw.githubusercontent.com/paperclipai/paperclip/8c68f42b268ada22b67d79d0fe1bb0a2f84ec25c/screenshots/full-page-agent-overview.png" width="900" alt="Agent overview with the character in its header" /> </details> <details> <summary>Task messages and assignee identity</summary> <img src="https://raw.githubusercontent.com/paperclipai/paperclip/8c68f42b268ada22b67d79d0fe1bb0a2f84ec25c/screenshots/full-page-task.png" width="900" alt="Task messages and assignee identity" /> </details> <details> <summary>Larger onboarding character with room for expressions</summary> <img src="https://raw.githubusercontent.com/paperclipai/paperclip/8c68f42b268ada22b67d79d0fe1bb0a2f84ec25c/screenshots/full-page-meet-your-next-agent.png" width="900" alt="Larger onboarding character with room for expressions" /> </details> <details> <summary>Dashboard agent activity</summary> <img src="https://raw.githubusercontent.com/paperclipai/paperclip/8c68f42b268ada22b67d79d0fe1bb0a2f84ec25c/screenshots/full-page-company-dashboard.png" width="900" alt="Dashboard agent activity" /> </details> ## Risks - This PR depends on #13170, the persona foundation. Merge the foundation first, then retarget this PR to master. - Many placements change from icons to character silhouettes. Human avatars and authoritative agent status labels retain their existing behavior. - Only one character can render live per view. Reduced motion, hidden/offscreen content, touch input, and renderer failures use the defined fallbacks. - The full-page stories use fixture data. They do not contact a real company or complete real provider sign-in. ## Model Used OpenAI Codex, GPT-6 family. The exact model identifier and context window are not exposed in this session. Used code editing, shell execution, browser inspection, and Linux visual testing. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Tonio <tonework@gmail.com> Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com> |
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8f69e0af9d |
fix(ui): confirm every copy action (#13603)
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work
> - Much of the work means moving an opaque value somewhere else: an
agent id, a callback URL, a webhook secret, an error payload for a bug
report
> - Copy buttons all over the app do that, and most already say whether
it worked — an icon that flips to a check, a label that reads "Copied"
> - Eleven did not. They passed the promise to `.catch(() => {})` and
showed nothing at all
> - A copy that says nothing looks exactly like a copy the browser
refused, and the only way to tell is to paste somewhere and look
> - The clipboard really does refuse: over plain HTTP on a non-secure
host the async Clipboard API is unavailable, and the fallback can still
fail
> - This pull request gives every copy action an affordance, through two
shared hooks
> - The benefit is that a person can tell a copy from a failure without
leaving the page
## Linked Issues or Issue Description
**What happened?**
Eleven copy buttons gave no feedback. They called `copyTextToClipboard`
and discarded the result:
```
onClick={() => void copyTextToClipboard(robotEmail).catch(() => {})}
```
Nothing changes on screen, whether the write succeeded or failed. This
is the same surface where most other copy buttons do show a check or a
"Copied" label, so the silent ones read as broken.
**Expected behavior**
Every copy action says whether the clipboard took the value. A rejected
write says so rather than staying silent or claiming success.
**Steps to reproduce**
1. Open the connector setup flow for an app that shows a sharing email
or a callback URL.
2. Press **Copy** next to that value.
3. Before this change nothing on screen changes. Compare with the copy
button on a login panel, which flips to a check.
4. To see the failure case, open Paperclip over plain HTTP on a
non-localhost host, where the async Clipboard API is not available.
**Paperclip version or commit**
`45586170e` on `master`.
**Deployment mode**
Local.
**Agent adapter(s) involved**
Not adapter-specific (core bug).
**Additional context**
Commit `1fa36be35` moved every copy through `lib/clipboard.ts`, so the
call sites are findable. Of 62 call sites, 51 already showed feedback
and 11 did not.
## What Changed
- New `ui/src/lib/use-copy-action.ts` with two hooks:
- `useCopyAction` for a control that stays on screen. It returns
`copied` and `failed` for the inline swap the rest of the app already
uses, and resets itself.
- `useCopyToast` for a menu item, which unmounts with its menu before an
inline state could be read, so its confirmation goes to the toast
viewport.
- Both wait for the write to resolve before reporting success, and both
report a rejection as a failure. `AdapterLoginChrome.test.tsx` already
held that line for one button; the helper now makes it the default.
- The eleven silent sites now use one of the two: the connector setup
flow's sharing-email and callback-URL buttons, the runner inspector's
copy-value and copy-path buttons, the agent bubble and skill studio menu
items, annotation "Copy link" on both its hosts, both secret-error
detail buttons, the chat webhook secret, and the motion tweak panel's
export box.
- The chat webhook secret follows its own file's convention: a label
that reads "Webhook secret copied", matching the manifest buttons beside
it.
- The 51 sites that already had feedback are untouched. Converting them
would be a large diff with no visible change.
- `clipboard-usage.test.ts` gains a static check, sibling to the one
that already keeps copies on the shared helper. It fails if a new copy
site ships with no affordance.
## Verification
- `npx vitest run ui/src/lib/use-copy-action.test.tsx
ui/src/lib/clipboard-usage.test.ts ui/src/lib/clipboard.test.ts
ui/src/components/AdapterLoginChrome.test.tsx` — 18 tests pass.
- The new hook tests cover the three cases that matter: no confirmation
while the write is still in flight, a failure state on a rejected write,
and a return to rest after the reset delay. The toast hook is covered
for both tones.
- `npx vitest run ui/src/pages/apps/AppsConnect.test.tsx
ui/src/components/task-chat ui/src/components/RunnerInspector.test.tsx
ui/src/components/DocumentAnnotation` — the suites over the touched
components pass.
- `npx tsc -b ui` — clean.
## Risks
Low. Each change is additive at its own call site and the copy path
itself is unchanged. The static check is the only part that touches
future contributors: it is one assertion, and its pattern list is easy
to extend or drop.
## Model Used
Claude Opus 5 (`claude-opus-5`), 1M context, extended thinking, with
tool use and code execution.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [ ] All Paperclip CI gates are green
- [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [ ] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
|
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4d82f5eaea | copy: unify user-facing "company" wording to "organization" (#12243) | ||
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1fa36be353 |
fix(ui): use HTTP-safe clipboard copy everywhere (#10875)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Operators often open self-hosted Paperclip over plain HTTP on a LAN or private network. > - Browser Clipboard API writes are not reliable in that insecure context. > - Paperclip already has one shared helper with a legacy copy fallback, but many current copy actions bypass it. > - This pull request routes every core UI copy action and the first-party workspace-diff plugin through the shared helper. > - The benefit is consistent copy behavior on HTTPS, localhost, and plain-HTTP private deployments. ## Linked Issues or Issue Description Refs #3529. This change supersedes the stale prior attempt in #3531. Current master has more copy surfaces and a first-party plugin UI bridge that the prior branch does not cover. ## What Changed - Replaced direct Clipboard API writes and duplicate fallback implementations across the current core UI with `copyTextToClipboard`. - Added an HTTP-safe clipboard function to the plugin UI SDK and wired the host bridge to the same implementation. - Migrated the first-party workspace-diff plugin to the plugin SDK clipboard function. - Added unit coverage for native rejection fallback and plugin host delegation. - Added a source-level regression test that rejects new direct clipboard writes outside the shared implementation. - Documented the plugin UI clipboard function. ## Verification - `NODE_ENV=test pnpm exec vitest run ...` for 14 affected suites: 164 tests passed. - `pnpm exec vitest run tests/ui-clipboard.test.ts` in `packages/plugins/sdk`: 1 test passed. - `NODE_ENV=test pnpm -r typecheck`: passed for 31 workspace projects. - `NODE_ENV=test pnpm test:run`: passed. - `NODE_ENV=production pnpm build`: passed. - `pnpm check:token-gates`: passed with all gates clean. ## Risks Low risk. Secure contexts still use the modern Clipboard API. Plain HTTP and rejected modern writes use the existing `execCommand("copy")` fallback. That API is deprecated, but it is the compatibility path required for insecure contexts. The change has no schema, API, or visual design effect. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex, `gpt-5.6-sol`. The runtime did not expose a context-window size. Reasoning, tool use, repository editing, test execution, and GitHub CLI access were enabled. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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52aea90263 |
feat: organize skills with nested folders and My Skills (#9633)
## Thinking Path > - Paperclip is the open source control plane people use to organize and govern AI-agent companies > - Company skills are durable resources that users browse, import, assign, and maintain over time > - A flat skill list plus tags does not provide a stable location or hierarchy for personal, company, project-imported, and bundled skills > - Folder paths need to be canonical, company-scoped, safe to move, and preserved across re-imports without changing skill IDs > - The `/skills` UI also needs traversal, breadcrumbs, move/create flows, and a dedicated My Skills namespace that work on desktop and mobile > - This pull request adds the folder data model and APIs, reserved-root lifecycle, project import behavior, and the folder-first skills experience > - The benefit is a predictable filesystem-like organization model while tags remain available for cross-cutting classification ## Linked Issues or Issue Description Refs #9619 — the reviewed folder foundation was intentionally closed and folded into this combined feature PR. Refs #9026 — earlier flat-folder attempt superseded by this integrated implementation. Refs #3281 — related skill organization proposal; this PR uses canonical persisted folders rather than deriving groups from skill keys, and does not add hidden-skill behavior. **Feature request** - **Problem:** Skills currently lack a canonical hierarchical location, making personal skills, project imports, bundled skills, and company-authored skills difficult to traverse and manage at scale. - **Proposed behavior:** Add nested company-scoped folders with stable paths, reserved My/Projects/Bundled roots, subtree queries, safe move/create operations, and a folder-first `/skills` library UI. - **Import behavior:** New project scans file skills under `projects/<project-slug>`; later imports update content without overriding a user-selected folder. - **Alternatives considered:** Tags alone remain useful for cross-cutting classification, but they do not provide canonical location, nesting, reserved namespaces, or stable import placement. - **Roadmap alignment:** Extends the completed Skills Manager and Scheduled Routines capabilities without duplicating an active roadmap item. ## What Changed - Adds `folders` persistence for routine and skill folders, nested canonical paths, parent/slug/system-key fields, migration backfills, and reapply-safe migrations `0174`–`0175` after current master migrations. - Adds company-scoped folder CRUD, cycle/depth/namespace validation, reserved My/Projects/Bundled lifecycle, item moves, subtree filtering, and folder paths on skill results. - Preserves project-import placement: first import files into the project folder, while re-import keeps user-owned placement and stable skill IDs. - Adds the `/skills` folder tree rail, tags facet, breadcrumbs, subfolder browser, move/new-folder dialog, canonical detail location, inline tag editing, and folder-aware Studio creation. - Keeps bundled skills read-only even when their source metadata is incomplete by detecting the reserved Bundled folder and hiding selection/move actions. - Extends routine folder UI and OpenAPI coverage, and adds regression tests across migrations, services, routes, tree helpers, pages, and Studio creation. ## Verification - `pnpm exec vitest run packages/db/src/nested-skill-folders-migration.test.ts server/src/__tests__/folders-routes.test.ts server/src/__tests__/folders-service.test.ts server/src/__tests__/company-skills-service.test.ts server/src/__tests__/routines-service.test.ts ui/src/components/folders/FolderControls.test.tsx ui/src/components/folders/SkillFolderTree.test.tsx ui/src/components/folders/skill-folder-tree.test.ts ui/src/pages/CompanySkills.test.tsx ui/src/pages/Routines.test.tsx ui/src/pages/SkillStudio.test.tsx ui/src/lib/company-skill-routes.test.ts ui/src/lib/skill-create.test.ts` — 13 files, 192 tests passed. - `pnpm exec vitest run ui/src/pages/CompanySkills.test.tsx ui/src/components/folders/SkillFolderTree.test.tsx` — 2 files, 20 tests passed after preserving the existing PR's bundled-skill fixes. - `pnpm -r typecheck` — passed for all workspace packages. - `pnpm test:run` — passed in an isolated CI-like environment with inherited Paperclip runtime identity and static AWS credential variables removed. - `pnpm build` — production build passed for all workspace packages. - Greptile iteration 2 — 5/5 confidence with zero unresolved threads on commit `ff2d67aa71`. - Latest-head GitHub checks — all success, neutral, or skipped; PR is mergeable with a clean merge state. - `pnpm check:token-gates` — reports nine existing `#9627` comment false positives already present on `master`; this PR introduces no new token violation. ## Risks - **Migration/backfill:** `0174` creates the foundation and `0175` adds nested/reserved semantics. Both are ordered after current master migration `0173`, are covered by numbering/safety checks, and are designed to be reapply-safe. - **Reserved namespaces:** My, Projects, and Bundled roots are service-managed. Regression coverage prevents namespace squatting, cross-company folder use, bundled writes, cycles, and excessive depth. - **Behavioral change:** Project scans choose a project folder only on initial creation; existing skills deliberately retain their current folder during refresh. - **UI scope:** The folder rail applies to the Installed library; Catalog retains the discovery-oriented category sidebar. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI `gpt-5.5` in Codex CLI, medium reasoning mode; runtime did not expose a context-window value. Used repository/file tools, terminal execution, Git/GitHub operations, test execution, and code editing. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> |
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89ce36d7af |
feat(skills): open-by-default company skill policy and core UX (#9564)
## Thinking Path > - Paperclip uses company skills to make agent capabilities reusable across an organization. > - Skill operations currently mix capability availability with permission checks, which creates avoidable setup friction and inconsistent denial handling. > - The policy contract needs to remain open by default while allowing company-scoped restrictions for governed deployments. > - Core owns the canonical policy actions, persistence, evaluation, API behavior, safe import boundaries, and generic denial/read-only UI. > - Enterprise policy-editor implementation belongs in the separate `paperclip-ee` repository and is intentionally excluded from this PR. ### Problem or motivation Company skill operations can encounter permission dead ends even when no explicit restriction has been configured, and import-source classification can drift between policy evaluation and execution. ### Proposed solution Define eight canonical skill policy actions, default all actions to allowed, persist company-scoped restrictions, expose policy evaluation APIs, normalize import sources at the boundary, and update Skill Studio to present actionable restriction states without embedding Enterprise Edition implementation in the core repository. ### Alternatives considered Keeping capability checks distributed across routes and UI surfaces was rejected because it duplicates policy logic and makes denial behavior inconsistent. Shipping the Enterprise policy editor in this repository was rejected because `paperclip-ee` is a separate repository and must receive its own PR. ### Roadmap alignment Extends the completed **Skills Manager** roadmap area by adding coherent governance and removing workflow dead ends. ### Additional context The core API contract remains suitable for a separate Enterprise Edition editor, but this PR contains no `paperclip-ee` package or EE-specific UI integration code. ## What Changed - Added the company skill policy contract to product and implementation documentation, including the open-by-default rule, eight canonical actions, decision shape, and core/EE ownership boundary. - Added the company-scoped policy schema, migration `0170`, shared validators, policy service, REST routes, OpenAPI coverage, and focused server tests. - Hardened import policy enforcement by normalizing import sources and keeping source classification consistent between policy evaluation and execution. - Updated core Skill Studio behavior to remove generic permission dead ends and show actionable policy/platform denial states only when an operation is actually denied. - Removed the `plugin-paperclip-ee` package, Docker wiring, EE discovery/deep-link helpers, and EE-specific UI tests/stories from this PR so that implementation can be submitted separately to the EE repository. - Preserved open-by-default behavior when no explicit company restriction exists. ## Verification - `pnpm --filter @paperclipai/ui exec vitest run src/components/skill-studio/SkillPolicySurfaces.test.tsx src/lib/skill-policy-denial.test.ts` — 20/20 passed. - `pnpm --filter @paperclipai/ui exec tsc --noEmit` — passed. - `pnpm --filter @paperclipai/server exec vitest run src/__tests__/worktree-config.test.ts` — 12/12 passed. - `pnpm check:token-gates` — passed with all gates clean. - `git diff --check` — passed. - `git diff --name-only origin/master | rg 'paperclip-ee|ee-skill-policy'` — no matches. ## Risks - Migration `0170` introduces company policy persistence; rollout depends on the migration applying before policy routes are exercised. - Open-by-default is an intentional behavioral policy: deployments expecting implicit denials must configure explicit restrictions. - Import normalization is security-sensitive and should retain focused review. - The separate EE editor must stay contract-compatible with the core policy API as policy actions evolve. ## Model Used - OpenAI Codex CLI, runtime model identifier and context-window size not exposed by this execution environment; reasoning, repository tool use, shell execution, and code review capabilities enabled. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details available to this runtime) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked or described the result above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change and contains no internal Paperclip ticket id or instance-derived details - [x] I have run focused tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green on the latest head - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Evyatar Bluzer <bluzername@users.noreply.github.com> |
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991279f52c |
Fix Skill Studio markdown dirty tracking (#9356)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Skill Studio is the UI surface for editing skill package files, including `SKILL.md`. > - Markdown files are split into frontmatter fields plus a rich markdown body editor. > - The dirty-state guard intentionally ignores markdown editor normalization during initial mount. > - That guard was too narrow: rich markdown body edits could happen before the file was marked as user-interacted, so edits did not reliably enable Save. > - This pull request broadens the user-interaction signals around the markdown body editor and adds a regression test for saving body edits. > - The benefit is that editing `SKILL.md` in Skill Studio now behaves like normal file editing: changes show as unsaved and Save persists the full markdown document. ## Linked Issues or Issue Description No public GitHub issue exists. Inline bug description follows. ### What happened? Editing a Skill Studio markdown body did not reliably mark the file dirty, so the Save action could remain unavailable or fail to persist the body edit. ### Expected behavior User edits in the markdown body editor should mark the file unsaved and allow saving the updated `SKILL.md` content. ### Steps to reproduce 1. Open a Skill Studio markdown file such as `SKILL.md`. 2. Edit the markdown body in the rich editor. 3. Observe whether the unsaved state appears and Save becomes enabled. 4. Save and reload the file. ### Paperclip version or commit Reproduced on `master` before this fix. ### Deployment mode Local dev (`pnpm dev`). ## What Changed - Mark markdown body interaction on capture-phase key, pointer, paste, drop, before-input, and input events around the rich editor. - Preserve the existing guard that prevents MDXEditor mount-time normalization from dirtying a clean file. - Add a Skill Studio regression test that edits the markdown body, observes the Unsaved state, enables Save, and verifies the saved `SKILL.md` includes both frontmatter and the edited body. ## Verification - `pnpm vitest run ui/src/pages/SkillStudio.test.tsx` Manual reviewer path: - Open a Skill Studio markdown file such as `SKILL.md`. - Edit the body text in the rich markdown editor. - Confirm the UI shows an unsaved state and the Save button is enabled. - Save and confirm the updated markdown body persists. ## Risks Low risk. The change only broadens interaction detection before applying existing dirty-state logic, and the guard still prevents initial editor normalization from marking an unopened file dirty. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex CLI using GPT-5, with repository file editing, shell execution, and GitHub CLI tool use. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge Co-authored-by: Paperclip <noreply@paperclip.ing> |
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b13eb5b2b5 |
Skill Studio: three-pane skill IDE with sandboxed test runs (#9241)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Skills Manager gives operators a reusable skill layer, but iteration still required manual edits, ad hoc prompts, and indirect run inspection. > - Skill authors need a focused workflow for editing skill files, saving representative test inputs, and running those inputs through an agent without exposing harness tasks as normal company work. > - The backend therefore needs durable test inputs, reusable run templates, hidden harness issues, scoped run execution, retention metadata, and read-containment rules around hidden work. > - The frontend needs a three-pane Studio that keeps skill files, saved inputs/templates, and run output/history visible together while preserving the existing design system and token rules. > - This pull request ships that Skill Studio surface end to end: database migrations, shared contracts, server APIs/services, hidden harness execution behavior, UI routes/components, and focused tests. > - The benefit is faster and safer skill iteration, with inspectable outputs and fewer ways for internal harness work to leak into normal task lists, costs, or adjacent read APIs. ## Linked Issues or Issue Description No public GitHub issue exists for this feature. Feature request summary: - Problem: Skill authors need to edit and test company skills in one place instead of switching between the skill detail page, task creation, run output, and manual prompt history. - Proposed solution: Add a Skill Studio workbench with saved inputs, reusable templates, hidden sandboxed test runs, live run status, output inspection, run history, rerun/delete controls, and frontmatter-aware editing. - Expected users: Paperclip operators and agent-company maintainers who create, fork, import, and tune skills. - Related public PRs: Supersedes #9205, which was replaced so the public PR branch name follows contributor policy. - Duplicate search: searched public GitHub issues and PRs for "Skill Studio"; no other active public issue or PR directly covers this feature. ## What Changed - Added database migrations for Skill Studio test inputs, test runs, test run retention, and reusable run templates. - Added shared Skill Studio types, validators, route helpers, frontmatter utilities, and status handling. - Added server services and routes for saved inputs, test runs, templates, reruns, terminal-run deletion, hidden harness issue execution, and run-detail hydration. - Strengthened hidden-issue read containment across issue-adjacent routes and cost rollups used by skill test harness work. - Added the Skill Studio UI with skill file editing, frontmatter editing, saved inputs, templates, run creation/cancel/rerun/delete flows, output rendering, history, route support, and responsive pane behavior. - Added focused backend, shared, and UI tests for the new APIs, routing logic, editor/run behavior, hidden-issue containment, and migration safety. - Rebased onto current `master`, removed the generated lockfile diff from the PR, and verified no workflow files are changed. ## Verification - [x] `pnpm --filter @paperclipai/db check:migrations` - [x] `pnpm check:token-gates` - [x] `pnpm exec vitest run server/src/__tests__/company-skills-service.test.ts server/src/__tests__/company-skills-routes.test.ts server/src/__tests__/company-skill-test-runs-service.test.ts ui/src/lib/skill-studio.test.ts ui/src/pages/SkillStudio.test.tsx` — 5 files, 132 tests passed - [x] Greptile review on the latest PR head - [x] GitHub PR checks on the latest PR head ## Risks - Medium risk because this is a broad feature touching database schema, server orchestration, issue visibility, and a large UI surface. - Hidden harness issue containment is security-sensitive; this PR includes regression coverage for adjacent read paths and cost rollups. - The new migrations are additive and use idempotent guards where applicable, but deployed databases that previously tested draft migration numbers should still be checked carefully. - The UI depends on a new resizable panels package in `ui/package.json`; the lockfile is intentionally left to repository automation. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex, GPT-5 coding agent with shell, git, and GitHub CLI tool use. Earlier feature commits include assistance from other Paperclip coding agents; this PR preparation, rebase, cleanup commit, and PR body were completed by OpenAI Codex in a Paperclip worktree. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |