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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Its evaluations test both the Runner and complete product workflows. > - The guides and run histories are in separate places. > - The shared Evalbook viewer can make the test boundary unclear. > - This pull request names the two families and adds a guide, authoring skills, and a public hub. > - Contributors can choose the correct test and inspect its history. ## Linked Issues or Issue Description **Issue type** Missing documentation. **Where is the issue?** Runner and Product E2E evaluation guides, case-authoring procedures, and public result navigation. **What's wrong?** There is no single entry point. A report format can be mistaken for an execution boundary. There are no dedicated case-authoring skills for these two families. **Suggested fix** Add a guide and three skills. Link both existing histories from a public hub. Keep existing campaign URLs and grading unchanged. ## What Changed - Add `doc/evals.md` and links from existing guides. - Add the `paperclip-evals`, `add-runner-eval`, and `add-product-e2e-eval` skills. Install copies in `~/paperclipai/.agents/skills`. - Add a static hub builder that reads the existing public history feeds. - Show a dated snapshot for each family. Label partial campaigns and preserve measurement dates across report refreshes. - Document publication and refresh commands for https://pages.paperclip.ing/evals/. ## Verification - Seven Python summary tests pass: `python3 -m unittest discover -s scripts/evals-hub -p 'test_*.py'`. Run these checks directly; this PR does not modify package scripts. - All three skills pass the skill-creator `quick_validate.py` check with `/usr/bin/python3`. - Build tested with saved history fixtures and the live public feeds. - Desktop and mobile browser checks pass. The mobile page has no horizontal overflow. - Published https://pages.paperclip.ing/evals/. Browser check: HTTP 200, no page errors, all eight links return HTTP 200, no mobile overflow. - Independent skill exercises found the existing Notion-decline case and a direct Runner permission-denial case. Roster validation with an explicit run ID passes. - Missing refresh measurement date: regression fails before the fix and passes after it. - `git diff --check` passes. - No paid evals were run for this documentation and reporting change. The preceding head passed typecheck, build, server/workspace tests, runner verification, browser E2E, and the canary dry run. Checks for the latest commit are pending. Local repository-wide typecheck, test, and build were not repeated because no product code changed. ## Risks The hub is a dated static snapshot. It can lag behind the linked histories until an operator refreshes it. A changed history schema stops the build. Existing archives and grades are not modified. The published guide link is pinned to the reviewed commit so branch deletion cannot break it. Later builds can use master. ## Model Used OpenAI gpt-6-astra for implementation and review. OpenAI gpt-5.6-luna for documentation and independent skill checks. Both used repository tools and code execution. Context window sizes are not exposed by 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 - [ ] All Paperclip CI gates are green (latest commit pending) - [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups (preceding head was 5/5; latest commit pending) - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
215 lines
11 KiB
Markdown
215 lines
11 KiB
Markdown
# Paperclip evaluation guide
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Paperclip has two live eval families with different questions, owners, and
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evidence. Choose the family before selecting a model, profile, or case.
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- **Runner Evals:** real Runner/provider behavior against a seeded mock control
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plane. Definitions live in `paperclip-evals/evals/paperclip-runner`; see the
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[direct live protocol evals](../packages/paperclip-runner/docs/runner-protocol-live-evals.md).
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- **Product E2E Evals:** real browser, Paperclip server, database, Runner,
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provider, and (where selected) Daytona, using an isolated instance and
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grading oracle. See [`tests/runner-e2e`](../tests/runner-e2e/README.md) and
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[Everyday Workflows](../tests/runner-e2e/EVERYDAY-WORKFLOWS.md).
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Runner Evals answer whether a real runner/provider can perform a bounded
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protocol operation against the expected control-plane contract. Product E2E
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Evals answer whether a person can complete a product workflow through the real
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Paperclip surfaces and whether the resulting artifact and state are usable.
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The names describe the system under test; “headless” is an execution option,
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not an eval category.
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## Selecting a family
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Use **Runner Evals** for a runner protocol, adapter, transport, native session,
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tool grant, or one-turn provider qualification question. The workflow checks
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out an exact `paperclip-evals` revision, builds the Runner and viewer, runs a
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live roster, and renders the canonical Evalbook report. The control plane is a
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seeded test authority, so a passing result does not prove browser UX, production
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server behavior, database persistence, Daytona behavior, or a real third-party
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mutation.
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Use **Product E2E Evals** for browser interaction, issue/task lifecycle,
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approval and clarification UI, project/repository selection, persistence over a
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controller restart, artifact delivery, billing/evidence behavior, or runner
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continuity in local or Daytona environments. The harness creates a fresh
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Paperclip instance per cell and uses public APIs and the production browser
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surface. The suite's [Everyday Workflows](../tests/runner-e2e/EVERYDAY-WORKFLOWS.md)
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are Product E2E even when their results are imported into Evalbook.
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Do not combine a partial Runner campaign and a partial Product E2E campaign into
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one score. A campaign is comparable when its definition/grader, model/profile,
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environment, and contract match. The evaluated Paperclip revision may
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intentionally differ for a before/after fix comparison; record it as a
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comparison axis.
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## Ownership and codepaths
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Runner Evals are owned by the Runner/evals maintainers. Definitions, rosters,
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case prompts, and the report program live in the sibling private repository
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`paperclipai/paperclip-evals`; Runner integration, viewer, aggregation, and
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publication code live under `packages/paperclip-runner` and the
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`runner-protocol-live-evals.yml` workflow. The public-facing report uses the
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same Evalbook renderer and Runner Lab viewer as the trusted report after
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sanitization.
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Product E2E Evals are owned by the runner E2E maintainers. The catalog and
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harness are under `tests/runner-e2e`; the package scripts are `test:e2e:runner`,
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`test:e2e:runner:unit`, `test:e2e:runner:typecheck`, and
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`test:e2e:runner:report`. `README.md`, `FIXTURES.md`, `SECURITY.md`, and
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`EVERYDAY-WORKFLOWS.md` are the detailed sources of truth. The harness starts
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the server and embedded database, creates the company/agent/task through the
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real APIs, drives Chromium, and invokes the selected local or Daytona runner.
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## Validation ladder
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Start with credential-free checks and a catalog listing. For Product E2E:
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```sh
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pnpm test:e2e:runner:typecheck
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pnpm test:e2e:runner:unit
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pnpm test:e2e:runner -- --list
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```
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For one explicitly selected local cell, configure only the credentials named
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by that cell in `.env.runner-e2e.local`, then run a narrow ID:
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```sh
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pnpm test:e2e:runner -- --id core-compatibility.runner-codex.local.message-marker
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```
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Use the selectors documented in the [runner E2E README](../tests/runner-e2e/README.md)
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for a suite, profile, case, group, or environment. Daytona needs the immutable
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image digest and `DAYTONA_API_KEY`; follow the README and fixture security guide.
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`--all` excludes manual suites such as `everyday-workflows`. Select that suite
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explicitly; use a narrow selector while developing a fixture.
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For Runner Evals, the narrowest useful local validation is the report program's
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help/validation path and the deterministic Runner checks documented in
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[`runner-workflow-evals.md`](../packages/paperclip-runner/docs/runner-workflow-evals.md).
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Hosted direct live runs must use the default-branch workflow, an exact 40
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character `evals_sha`, an explicitly selected roster (or the maintained
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enabled `all` campaign), and the protected paid environment. The complete
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hosted command is intentionally kept in the workflow and
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[direct live protocol guide](../packages/paperclip-runner/docs/runner-protocol-live-evals.md).
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Live provider runs can spend money; use the existing workflow authorization and
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the user's stated scope when selecting them.
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## Failure taxonomy
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Record the primary failure class and preserve the evidence that supports it.
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- **Product failure:** evidence shows Paperclip or Runner behavior violates the
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authored case or a hard invariant, such as wrong task state, missing approval
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gate, lost persistence, bad artifact, or incorrect protocol operation.
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- **Model/provider behavior failure:** the provider turn completed with usable
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evidence but the model gave the wrong answer, ignored an interaction, failed
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to complete the authored operation, or violated a semantic assertion. It is
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scored as behavior, not silently retried as infrastructure.
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- **Grading/evidence failure:** the case or matcher cannot establish its claim,
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a required recording/screenshot/result is malformed, or the report contract
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is invalid. Fix the harness or grader before interpreting the score.
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- **Infrastructure failure:** the evidence points to provider/profile
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unavailability, transport admission failure, service startup failure, a
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missing credential/image, or inability to produce usable evidence. Startup,
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transport, and timeout symptoms can instead be product defects when evidence
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implicates Paperclip or Runner; classify from the observed failure and
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supported cause, rather than the symptom name alone. Preserve the artifact.
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Missing usage or price data means unknown, not free. Keep provider-reported
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costs separate from estimates, and include retry costs when available.
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Latency, cleanup, billing coverage, and unpriced usage are dimensions of the
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result and should remain visible alongside the primary class. A timeout after
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successful product state reads can be a product behavior failure; a failed
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server-health read may be infrastructure, but inspect its cause. Use the
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family-specific classifier and read the attempt evidence before changing an
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analytical label.
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## Evidence, provenance, and history
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An Evalbook report is a presentation of immutable attempt records, not the
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source of truth. Keep the campaign ID, Paperclip commit, `paperclip-evals`
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commit, catalog/roster or definition fingerprint, model/profile, environment,
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grader version, selected cells, retries, and provider/runtime usage with the
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report. Public projections follow each family's reviewed allowlist and may
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include sanitized fixture conversation, named tool outcomes, screenshots, and
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structured evidence intended for public history. Credentials, secrets, private
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data, raw unredacted records, and hidden reasoning stay out of public
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projections.
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Distinguish a complete campaign from a partial campaign. A narrow selector,
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manual diagnostic, missing cell, or infrastructure retry can be useful evidence
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without being a qualification run. History should retain both, with explicit
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coverage and completeness, while trend and latest-green views compare only
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compatible complete campaigns. Refreshing an existing report from retained
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evidence has zero provider calls and is a new presentation of the old
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measurement, not a new model run.
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Existing public histories are available at
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[Runner protocol history](https://d1p6rlowie26tp.cloudfront.net/runner-protocol-evals/index.html)
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and [Runner Product E2E history](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/).
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The consolidated eval hub is at
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[pages.paperclip.ing/evals](https://pages.paperclip.ing/evals/).
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For a repeatable workflow, use the matching skill: [paperclip-evals](../.agents/skills/paperclip-evals/SKILL.md),
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[add-runner-eval](../.agents/skills/add-runner-eval/SKILL.md), or
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[add-product-e2e-eval](../.agents/skills/add-product-e2e-eval/SKILL.md).
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## Install the authoring skills
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The reviewable sources live in this repository's `.agents/skills`. For a
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multi-repository workspace, install the three skills at
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`~/paperclipai/.agents/skills` (not `~/paperclipai/skills`). From the Paperclip
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checkout, run:
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```sh
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for skill in paperclip-evals add-runner-eval add-product-e2e-eval; do
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install -d "$HOME/paperclipai/.agents/skills/$skill"
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install -m 644 ".agents/skills/$skill/SKILL.md" \
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"$HOME/paperclipai/.agents/skills/$skill/SKILL.md"
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done
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```
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This replaces only the three named skill entrypoints. Run it again after
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updating their tracked sources. Each skill locates the repository independently
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of its installation directory.
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## Maintain the public hub
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The hub is a static directory with two links to the existing history systems.
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It displays a dated snapshot, not a live scoreboard. It does not run models,
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create another result archive, or change the existing campaign URLs.
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Build from the public history feeds and check its summary logic:
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```sh
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python3 -m unittest discover -s scripts/evals-hub -p 'test_*.py'
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python3 scripts/evals-hub/build.py --output .paperclip/evals-hub
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```
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The hub checks need Python 3 and do not call model providers.
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For offline checks, pass `--history-dir <directory>` containing
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`runner-protocol-evals-history.json` and `runner-e2e-history.json`.
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For a pre-merge preview, pass `--docs-ref <branch-or-sha>` to link the guide
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at that revision. The default guide link uses `master`.
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Publish with the [Paperclip page helper](../.agents/skills/paperclip-page/SKILL.md)
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and the configured page-uploader credentials. Use Bash 4 or newer; macOS's
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system Bash 3 cannot run this helper. On macOS with Homebrew Bash installed,
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put `$(brew --prefix bash)/bin` first in `PATH` before these commands:
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```sh
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export PAPERCLIP_PAGE_BUCKET=pages.paperclip.ing
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export PAPERCLIP_PAGE_BASE_URL=https://pages.paperclip.ing
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export AWS_REGION=us-east-1
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bash .agents/skills/paperclip-page/scripts/publish.sh .paperclip/evals-hub --slug evals --dry-run
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bash .agents/skills/paperclip-page/scripts/publish.sh .paperclip/evals-hub --slug evals
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```
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For later refreshes, rebuild in the same output directory and publish with
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`--update`. Keep its ignored `.paperclip-page/state.json` ownership record;
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without that record, the helper will refuse to overwrite an existing prefix.
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Verify the public page and its links after publication. This manual refresh
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does not add a scheduled workflow. Preserve the measurement date when choosing
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a newer rendering of the same campaign.
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