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 DottaandPaperclip
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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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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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DottaandPaperclip
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33d24e48ad |
fix(skills): simplify source rows, errors, and actions (#16310)
## Thinking Path > - Paperclip manages agent skills from GitHub repositories. > - Skills → Sources shows saved repositories and their sync status. > - A saved source gained a second repository row when other projects used the same repository and branch. > - That row repeated the GitHub icon and branch, and it exposed project names that did not help with source management. > - The page also repeated the Installed navigation link and showed refresh errors as separate lines of text. > - Connection management also appeared under each source, where it competed with source-specific actions. > - This pull request shows each saved source once, groups error details, and moves connection management into the menu beside Import from GitHub. > - The result is a clearer source list that keeps import and recovery actions available. ## Linked Issues or Issue Description **What happened?** When a saved source shared its repository and branch with other projects, Skills → Sources displayed a second GitHub header and the names of those projects. The page also displayed an extra Installed skills link and repeated Manage GitHub connection under source rows. A failed refresh placed its timestamp and error on separate lines. **Expected behavior** Show one row for each saved source. Keep project names out of that row. Keep the additional import action available in More. Put connection management in the page actions menu beside Import from GitHub. Present refresh errors as one readable notice with the time and review action. **Steps to reproduce** 1. Open Skills → Sources in a company with one saved GitHub source and another project that uses the same repository and branch. 2. Observe the repeated repository row and project names. 3. Open the Storybook journey `Existing source, more projects` to inspect the same state. Open `Retained skills and retry` to inspect a failed refresh. **Paperclip version or commit** The issue is present on base commit `739f9e40a4`. **Deployment mode** Built from source. The issue was also observed in a staging workspace. ## What Changed - Remove project names, the duplicate repository row, and the redundant Installed skills link from saved source rows. - Put imports for additional projects in the source More menu. Show brief import progress in the source metadata. - Group source errors, attempt time, and the review link in a compact notice. Add a Storybook journey and browser coverage for the shared-repository state. - Add a page actions menu beside Import from GitHub. Put Manage GitHub connection there and remove the repeated inline links. Cover the menu and keyboard focus in the Storybook browser suite. ## Verification - `pnpm -r typecheck`, `pnpm build`, `pnpm check:token-gates`, `node scripts/check-maps.mjs`, and `node scripts/storybook-catalog.mjs --check` passed locally. The Skills sources unit suite passed 22 tests. - All 18 repository-skills Storybook browser tests passed, including the shared-source import, connection menu, mobile, and failed-refresh journeys. - A local full `pnpm test:run` was stopped after a server runner-API test timed out. An isolated diagnostic identified macOS embedded PostgreSQL shared-memory exhaustion. The PR passed all 55 CI checks, including server test shards and end-to-end tests. - Open the Storybook journeys `Existing source, more projects`, `Automatically imported skills`, and `Retained skills and retry` to inspect the compact source row, page actions menu, and grouped error notice. ## Risks Low risk. The visible import action for projects that share a saved source moves to More. Connection management moves to a page menu and opens the Apps catalog. People must open those menus to find the actions. The import API and access checks do not change. > I checked `ROADMAP.md`. This source-list correction does not duplicate planned core work. ## Model Used OpenAI Codex, GPT-6 family. The task runtime did not expose an exact serving model ID or context-window size. The model used tool calls, code edits, and browser verification. ## 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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DottaandPaperclip
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df4ee06e2f |
feat(skills): select and validate tracked GitHub branches (#16288)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Skills can track a branch in an authorized GitHub repository. > - Sources previously offered only a default-branch repair action. > - People need to select a listed branch or enter a branch that GitHub has not listed. > - The server must validate the selected ref with the caller's authorized connection. > - This pull request connects the approved branch picker to production APIs. > - Installed skills remain usable while the source changes its tracked ref. ## Linked Issues or Issue Description **Subsystem affected** Skills UI, shared API contracts, GitHub source services, and agent API discovery. **Problem or motivation** The default-branch repair action does not let people choose another branch. The settings service also validates the old ref when a caller supplies a new ref other than HEAD. A missing tracked branch can prevent connection repair even when the selected account has repository access. **Proposed solution** Load a bounded branch list with the authorized connection. Mark the default branch. Search listed branches or accept a typed ref. Validate the selected ref before saving. Keep the chosen value after a load error, invalid ref, or concurrent update. Save the selected connection and branch together during connection repair. **Alternatives considered** A default-branch button does not support a named branch. A text field alone does not help people find the repository default or available branches. **Roadmap alignment** This improves the existing Skills source manager. It does not add a new skill import system. **Additional context** Refs #16066 and #16256. This is the production implementation of the approved branch-selection Storybook journeys. ## What Changed - Add an authorized branch-list endpoint and shared response/query types. Register it in agent API discovery. - Validate the requested ref, including the returned commit SHA. Preserve source leases, revision checks, project ownership, skill identities, selections, and installed versions. - Add the searchable branch picker to Sources and connection repair. Allow typed refs during branch discovery and after discovery fails. - Keep save errors in the dialog. Retain the selected branch through a concurrent source update. - Use the production components and API client in Storybook. Add keyboard, touch, loading, retry, invalid-ref, connection-repair, and concurrent-update browser journeys. - Update product documentation and the feature/access maps. ## Verification - Red/green: two new database regressions fail against the previous service and pass against the implementation. - Linux database/service suite: 85 tests passed. This includes source visibility, human/agent authorization, selected connections, immutable versions, and invalid refs. - Rebased branch and review fixes: 94 focused UI, route, branch-validation, and fixture tests passed. Two conflict-message regressions and the stale-retry fixture regression fail before the fix and pass after it. - Storybook build passed. All 26 focused browser journeys passed. - Repository typecheck and build passed. Final UI typecheck passed after the review fixes. - The full local Vitest run was interrupted when the checkout and its dependencies disappeared. It reported missing working-directory/Postgres files and worker startup errors. Its two timed-out tests pass after the checkout was restored. The complete CI suite passed on the final head, `cf5d4c8f0a`: [CI run](https://github.com/paperclipai/paperclip/actions/runs/38571068332). One unchanged workspace timestamp test required a single rerun. Its release-minus-one-millisecond value can equal the original confirmation time. The rerun passed. - Live acceptance passed on implementation head `5dd935bf14` in an isolated macOS arm64 instance with Node 24.21.0 and an authorized private GitHub repository. The UI loaded the actual default branch, saved branch and selected connection together, and preserved the installed skill/version IDs after reload. An invalid typed ref retained the draft and showed the provider error. A valid typed HEAD ref then saved successfully. The owned runtime and database were stopped after the test. Focused unit, Linux database, and browser suites passed again after the error-handling review fixes. - Greptile reviewed final head `cf5d4c8f0a` at 5/5. Both review threads are resolved; the fresh review has no remaining findings. - Token gates and map/catalog checks passed. - Review entry points: `Skills / Project repository skills / 03 Branch selection components` and `04 Branch selection journeys`. Run `pnpm storybook` to inspect them. - Browser command: `pnpm exec playwright test --config tests/storybook-visual/playwright.config.ts tests/storybook-visual/skill-source-branch-selection.spec.ts tests/storybook-visual/project-repository-skills.spec.ts`. - Manual check: open an independent GitHub source, choose a new branch, select the default or type a ref, save, and reload. Try an invalid ref and confirm the selection remains in the dialog. For a project-bound source, change its ref in project settings. ## Risks - GitHub discovery is bounded to 100 listed branches. The default branch is always included. Typed refs remain available. - A source can change while the dialog is open. The API rejects a stale revision and the UI keeps the draft for retry. - A ref change schedules the existing refresh pipeline. Installed versions remain available until a successful refresh imports new content. - No database migration or credential storage change is required. Existing HEAD requests remain supported. ## Model Used OpenAI Codex, GPT-6 family. The serving model's exact identifier and context-window size are not exposed in this session. Used reasoning, repository tools, code execution, and browser tools. ## 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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DottaandPaperclip
|
c36281d639 |
fix(skills): repair missing branches and show grouped import progress (#16256)
## Thinking Path > - Paperclip lets people manage AI agents and their reusable skills. > - GitHub skill sources must keep their installed content usable during updates. > - A source can track a branch that no longer exists. > - The UI treats that GitHub error as a connection problem, so saving a valid account does not resolve it. > - Project workspaces also show the same repository several times, and long imports give little feedback. > - This pull request adds explicit branch repair, groups repository imports, and shows import progress. > - People can repair the actual problem and see when their import is working. ## Linked Issues or Issue Description Refs #16066 and #14713. This fixes the Sources experience introduced by those changes. Related adapter-source PRs #14340 and #14341 cover runtime mounting, not this source-management flow. No overlapping source-management fix was found. **What happened?** An installed source tracked `main` while its GitHub repository used `master`. GitHub returned HTTP 422. The UI showed a general read error and asked for a new connection after a valid account was saved. The project repository list repeated the same repository/ref for each project. Import had no spinner or explanation of queued work. **Expected behavior** Identify an unavailable branch and offer an explicit repair. Retain the selected connection and installed versions. Show one repository/ref row with its projects. Give immediate feedback and show the queued and active import states. **Steps to reproduce** 1. Install a source with an immutable commit and a saved tracked branch that does not exist. 2. Refresh it, or try to save a valid GitHub connection. 3. Add the same repository/ref to two legacy project workspaces and open Sources. 4. Import that repository and observe the row until installation completes. ## What Changed - Distinguish a missing GitHub revision from access denial and temporary read errors. - Validate both repository identity and the tracked revision when saving a connection. - Offer Use default branch on independent sources and in connection repair. Keep `HEAD` as the default-branch alias after refresh. Preserve skill IDs, versions and selections. - Keep active project refs under project configuration. Reject source-level changes that would alter their tracking. Recheck the ref under the source lock when project attachment races with branch repair. - Group matching repository/ref workspaces. Adopt eligible workspaces and skip pending workspaces. Keep remaining project links inside the existing source card. Allow remaining imports while another workspace is pending. - Show a spinner, busy state and queued/importing text. Keep the saved authorized account selected in connection repair. - Update shared contracts, feature/access maps, database notes and production-component Storybook journeys. ## Verification - Red/green: three local regressions failed on the original code: missing-ref classification, duplicate repository rows, and branch repair instead of another connection prompt. The changed UI/reader tests pass after the fixes. - Live local app with a real authorized GitHub credential: reproduced HTTP 422 for the unavailable branch; used the UI to restore default-branch tracking; confirmed the same connection, skill ID and single immutable version remained. - Live local grouped Paperclip import: one source, two project associations and 52 installed skills. Sources survived reload. No staging data was changed. - All 16 project repository Storybook browser journeys pass on the final head, including keyboard focus recovery after branch repair. These include branch repair, grouped imports, connection selection, recovery, removal and responsive layouts. - Repository typecheck, production build, Storybook build, token gates and 28 map/catalog tests passed. Final UI typecheck and build also passed after grouping remaining project links. - Linux qualification: all 94 focused source, project import, GitHub reader and UI tests pass with supported Node 24. No database tests were skipped. Both review findings failed before their fixes and pass after them. - The full local `pnpm test:run` attempt was stopped after macOS database suites exhausted the host shared-memory limit. The complete Linux CI matrix is the full-suite gate. The complete Linux CI matrix passes for head `f886e3ac073ec1c6f051fd6429496234f5143694`. - Greptile rates head `f886e3ac073ec1c6f051fd6429496234f5143694` 5/5. Both findings are fixed and all review threads are resolved. - Storybook: `skills-project-repository-skills-02-journeys--missing-branch` and `--duplicate-projects`. ## Risks - Default-branch repair changes the tracked branch only after an explicit user action. Existing execution version pins stay intact. - A selected connection now needs access to the tracked revision, not only repository metadata. - Grouping is by repository and ref. Project access and provenance remain separate and are checked by the existing services. - Legacy source errors contain safe text. The repair-action classifier maps known errors and treats other failures as retryable. No credentials or provider response bodies are returned. - No schema migration, workflow change, lockfile change or staging deployment. ## Model Used OpenAI Codex, GPT-6 family. The exact serving model identifier and context-window size are not exposed in this session. Tool-assisted implementation, code execution and browser verification. ## 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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DottaandPaperclip
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473c80d13f |
Automatically import and update project repository skills (#16066)
Automatically import skills from new GitHub project repositories and update enabled sources in the background. Preserve project-derived access, saved selections, immutable execution versions and explicit pins; add legacy adoption, refresh and connection repair in Sources. Include durable scheduling and bounded work credits, production Storybook journeys, real GitHub-to-routine acceptance receipts and final-head CI/security/Greptile qualification. Co-Authored-By: Paperclip <noreply@paperclip.ing> |
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DottaandPaperclip
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4b6de5327e |
Remove cheap model profiles (#12683)
## Thinking Path > - Paperclip manages agents that use different model providers and adapters. > - Paperclip must keep agent execution rules clear and predictable. > - The cheap-model profile added a second execution mode across adapters, task recovery, APIs, and the UI. > - That mode increased configuration and recovery complexity. > - This pull request removes the cheap-model profile as a product feature. > - The benefit is one model-selection path for normal work and recovery work. ## Linked Issues or Issue Description **What existing behavior does this improve?** This change simplifies model selection across agent configuration, task execution, recovery, and adapter capabilities. **Current behavior** Paperclip exposes cheap-model profiles in adapter metadata, agent runtime configuration, task overrides, recovery rules, APIs, and the board UI. Recovery work can select a different model profile from the agent's configured model. **Proposed behavior** Paperclip uses the agent's configured model for normal work and recovery work. Status-only recovery stays limited to coordination work. The API rejects legacy model-profile configuration. A migration removes stored model-profile values from existing agent, issue, and historical revision records. **Reason and benefit** One model path reduces configuration, API, UI, and recovery complexity. It also prevents status recovery from becoming a separate product-level model-routing feature. **Breaking changes** This change removes model-profile fields and adapter capability metadata. Existing stored model-profile values are removed by an idempotent migration. The validators reject new legacy profile values with clear errors. ## What Changed - Removed model-profile types, adapter capabilities, API fields, and model selection logic. - Removed cheap-model controls from agent and task UI surfaces. - Kept status-only recovery limited to coordination context while normal continuations use the configured agent model. - Added an idempotent migration that removes stored model-profile values from agents, issues, and configuration revisions without changing issue update timestamps. - Updated tests and product documentation for the single-model behavior. ## Verification - `pnpm check:token-gates` passes. - `pnpm -r typecheck` passes. - `pnpm build` passes. - `pnpm test:run` completed with 5,607 passing tests and 8 environment-sensitive failures in unrelated fixed-port and database-deadlock suites. The same failures repeated in an isolated rerun. CI is the final clean-room result. ## Risks - This is an intentional breaking change for clients that send model-profile fields. - The migration changes legacy agent, issue, and configuration-revision JSON. It is idempotent and preserves unrelated fields and issue update timestamps. - The change is cross-cutting because the removed feature existed in adapters, shared contracts, the server, plugins, and the UI. > 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 with `gpt-5`. Reasoning and tool use were enabled. The runtime did not expose the 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) - [ ] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [ ] 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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scotttong
|
4d82f5eaea | copy: unify user-facing "company" wording to "organization" (#12243) | ||
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DottaandPaperclip
|
5da382fd59 |
feat(skills): require explicit merge modes (#10978)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Agents can select company skills and synchronize them to adapter runtimes > - The skill sync API replaced the complete selection without an explicit destructive choice > - Company package import also replaced conflicting skills by default > - These defaults could remove operator edits during setup and import reruns > - This pull request adds explicit assignment merge modes and safe package conflict handling > - The benefit is that reruns preserve operator work unless the caller explicitly requests replacement ## Linked Issues or Issue Description **What existing behavior does this improve?** This change improves agent skill synchronization and company package import. **Subsystem affected** This is a cross-cutting change across the shared contracts, server, CLI, and UI. **Current behavior** Agent skill synchronization replaces the full desired skill set from a modeless request. Package import replaces a conflicting skill when the caller does not select a conflict mode. **Proposed behavior** Agent skill synchronization requires `add`, `remove`, or `replace`. Package import skips conflicts by default. Each imported skill reports whether it was created, renamed, replaced, or skipped. **Reason and benefit** Setup and import reruns must preserve operator edits by default. Explicit destructive modes make data loss less likely and make each outcome inspectable. **Breaking changes** Callers of the agent skill sync API must now send `mode`. Callers that need the former behavior must send `replace`. Package import now uses `skip` when `onConflict` is absent. ## What Changed - Added required `add`, `remove`, and `replace` modes to the shared agent skill sync contract. - Added actionable `422` validation for missing or invalid modes. - Updated first-party UI and CLI callers with explicit modes. - Changed package skill conflict handling to use `skip` by default. - Kept plugin-owned and built-in stock skill imports on explicit `replace`. - Added created, renamed, replaced, and skipped results to company imports. - Added regression coverage for merge modes and package conflict outcomes. ## Verification - `pnpm check:token-gates` - `pnpm -r typecheck` - `pnpm build` - `pnpm test:run:serialized` (128 suites passed) - `pnpm --filter @paperclipai/skills-catalog test` (20 tests passed) - Focused agent skill route, company skill service, portability, CLI, and UI tests passed. - GitHub CI passed build, typecheck, canary, all general and serialized test shards, all browser shards, policy, security, and final verification on commit `2cfbb3e4c5`. - Greptile reviewed the latest commit at 5/5 with zero unresolved threads. ## Risks - This change intentionally rejects modeless agent skill sync requests. - The safe package default can leave an existing skill unchanged where the old default overwrote it. - All first-party callers now select a mode. Regression tests cover each outcome. > 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-5.6-sol` through Codex. The runtime used agentic reasoning, tool use, code execution, and repository editing. The runtime did not expose the 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: Paperclip <noreply@paperclip.ing> |
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DottaandPaperclip
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c3bd0c5d50 |
feat(skills): add beta releases for the core Paperclip skill (#10228)
## Thinking Path > - Paperclip is the open source control plane people use to organize and operate AI-agent companies. > - Agent behavior depends partly on the bundled Paperclip core skill synchronized into each runtime. > - The existing database and runtime plumbing already supports immutable skill-version snapshots and per-agent version selections, but no product workflow exposed that capability. > - Replacing the live bundled skill globally would make champion adoption risky and difficult to compare across agents. > - This pull request adds an experimental, instance-level beta-skills gate plus a repository release registry, immutable seeded releases, enforcement, and a per-agent release picker. > - The benefit is controlled per-agent evaluation of frozen core-skill releases while the default-off path remains behaviorally unchanged. ## Linked Issues or Issue Description ### Subsystem affected Cross-cutting: `server/`, `ui/`, `packages/db`, and `packages/shared`. ### Problem or motivation Paperclip needs a safe way to evaluate improved versions of its core operating skill without globally replacing the live default. Today the version-snapshot and per-agent pin plumbing exists, but operators cannot use it. A global replacement would make regressions difficult to contain and would prevent controlled comparisons across agents. ### Proposed solution Add a default-off instance experiment that exposes immutable, named core-skill releases. When enabled, operators can pin each agent to a seeded release; when disabled, every agent resolves the live default while saved pins remain intact. Validate pinned writes at the API boundary, gate reads at runtime, and expose the selection in the agent Skills tab. ### Alternatives considered - **Replace the bundled core skill globally:** rejected because it changes every agent at once and provides no rollback/isolation boundary. - **Ship releases as separate skills:** rejected because releases are versions of one core capability, not independently enabled skills. - **Store release snapshots only outside the repository:** rejected because repository provenance and hashes make builds reproducible and reviewable. ### Roadmap alignment This extends the Skills Manager / Skill Studio direction in `ROADMAP.md` by making core-skill versions operable per agent. It does not duplicate another open implementation PR; GitHub searches found no related `enableBetaSkills` change. ### Additional context The feature remains experimental and default off. The V7 champion was selected through a multi-model evaluation process, and the frozen release contents are verified by SHA-256 below. ## What Changed - Added the default-off instance-level `enableBetaSkills` experimental flag. - Added `skills-releases/paperclip/` with the ordered release registry and frozen `v0` plus `v7-roster` snapshots. - Added release metadata to `company_skill_versions` and idempotent release seeding. The migration was planned as `0191`, then renumbered to `0192` because current `master` claimed `0191` before final rebase. - Added read-time gating and write-time validation so disabled instances always resolve the live default and reject pinned-version writes. - Added the per-agent Release picker in the agent Skills tab, including responsive layout and beta-pin state. - Kept `EDITS.md` out of the release registry and PR diff. ### V7 Adoption Evidence - Paid roster: 6 models, 94-case suite. - Result: 553/564 pass-within-2, mean 92.17/94, versus the P2 baseline of 544/564. - Reference model improved 84→91; maximin improved 84→90. - Final report: https://pages.paperclip.ing/skills/optimization/paperclip/pap-14624-p3-final-20260721/ ### Provenance - `v7-roster` is the Phase 1 champion plus additions-only edits E107–E112. Per-edit rationale remains in the evals repository at `source/v7-roster/EDITS.md` and is deliberately excluded from this PR. - `v0` is the `skills/paperclip` tree from commit `ea66ea81`. - Champion selection was accepted on July 21, 2026 via board card `9c304fc2` (PAP-14624 G3). - This delivery mechanism was accepted on July 24, 2026 via plan revision `2367abd2` (PAP-14858). ### QA Evidence - P4 QA matrix comment `b7f40522-4e9b-4a3a-9821-28e86fe1a987`: all 6 acceptance criteria passed. - Automated QA matrix: 166 tests passed with 0 failures, including real filesystem materialization and full SHA-256 assertions. - UI QA exercised the real agent Skills tab at desktop and mobile widths with the experimental flag both on and off. ## Verification - `pnpm check:token-gates` - Focused beta-release matrix: 169 tests passed across shared validators, server services/routes/heartbeat behavior, instance settings UI, and release picker UI. - `pnpm -r typecheck` - `pnpm build` - `pnpm test:run`: server and UI partitions passed; one CLI doctor test inherited temporary AWS credentials from the agent heartbeat and expected no static credentials. The isolated rerun with `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and `AWS_SESSION_TOKEN` unset passed 8/8. - V7 SHA-256: - `SKILL.md`: `53ab290489684cbf116fdd1406a95f6b6f53c9c36358b1bf8bfeae481e253575` - `references/cases.md`: `3b821f59064a7761091020a14819a8d787131f24029748563d6c0e1be7e6eaec` - `references/workflows.md`: `69747bd6e05f7e3673d1e67b07ff295df1869c05e1fd029804d5fa9177db92cd` - Confirmed 49 changed files, no `pnpm-lock.yaml`, no workflow changes, and no `EDITS.md`. ## Risks - **Migration:** low-to-moderate risk. Three nullable columns and one partial unique index are added idempotently; existing rows remain valid. - **Behavior:** low risk while the flag is off because read-time resolution forces the live default and saved pins are preserved but inactive. - **Frozen content:** release snapshots intentionally diverge from future live skill edits; provenance and hashes make that divergence explicit and reproducible. - **UI:** low risk. The picker only renders for the bundled core skill when the experimental flag is enabled and seeded releases exist. > This extends the existing Skills Manager / Skill Studio direction described in `ROADMAP.md`; it does not duplicate another open implementation PR. The GitHub PR search found no related `enableBetaSkills` change. ## Model Used - OpenAI Codex using `gpt-5.5` with reasoning and terminal/code-execution tools; context-window size is not exposed by this runtime. Earlier implementation commits also record Claude Opus 4.8 assistance where applicable. ## 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 - [ ] I have not referenced internal/instance-local Paperclip issues or links (required governance identifiers are included above; no internal URL is included) - [ ] My branch name describes the change and contains no internal Paperclip ticket id (the approved delivery plan mandated this shared branch name) - [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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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> |