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paperclip-evals

paperclip-evals

github.com/paperclipaiTesting & quality108.3k44 installsUpdated today
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About paperclip-evals

A skill for selecting, interpreting, and running Paperclip evaluations and handling their evidence and history. It distinguishes Runner Evals from Product E2E Evals and emphasizes safe execution and evidence retention.

Key features

  1. 01Distinguish the two evaluation families
  2. 02Locate the repository and eval definitions
  3. 03Follow safe validation and run procedures
  4. 04Record evidence and run metadata
  5. 05Apply failure classification and projection limits

Use cases

  1. 01Choose a Paperclip evaluation family
  2. 02Interpret results and failure causes
  3. 03Prepare an authorized live evaluation run

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/paperclipai/paperclip --skill paperclip-evals

After installing, type/paperclip-evalsin Claude Code to confirm it loaded.

Details

From the project README

Paperclip evals

Use this skill when a request concerns Paperclip evaluation selection, interpretation, evidence, history, or a live run. Read doc/evals.md in the Paperclip repository first. It defines the two families and their boundaries.

Discover the repository

Do not assume the skill's installed location is inside a checkout. Locate the repo explicitly with git rev-parse --show-toplevel from the current directory, or inspect likely workspace roots and select the checkout containing package.json, tests/runner-e2e, and packages/paperclip-runner. Locate the private sibling paperclip-evals only when a Runner Eval needs its definitions; use an explicit PAPERCLIP_EVALS_ROOT or a discovered sibling checkout. Never invent a relative path from this copied skill into the repository.

Route the request

Choose Runner Evals for real runner/provider protocol behavior against the mock control plane. Authoritative details are in packages/paperclip-runner/docs/runner-protocol-live-evals.md and the sibling paperclip-evals/evals/paperclip-runner definitions.

Choose Product E2E Evals for real browser/server/database/runner/provider workflows, including local and Daytona environments. Read tests/runner-e2e/README.md, then FIXTURES.md, SECURITY.md, or EVERYDAY-WORKFLOWS.md as relevant. Everyday Workflows remain Product E2E even when imported into Evalbook. “Headless” is a browser mode, not a family.

Work safely

Start with read-only catalog inspection and credential-free validation. For Product E2E use pnpm test:e2e:runner:typecheck, pnpm test:e2e:runner:unit, and pnpm test:e2e:runner -- --list; run one explicit cell only when the user has authorized a live/paid run and the needed credentials and immutable Daytona image are configured. For Runner Evals use the pinned eval revision and the documented workflow/CLI. Never use a partial selector as evidence of full coverage.

Keep source revisions, definition/catalog fingerprints, model/profile, environment, selected cells, retries, timing, usage/cost coverage, and grader version attached to every interpretation. Preserve partial attempts and classify failures as product, model/provider behavior, grading/evidence, or infrastructure from the observed failure and supported cause. A usable completed behavior failure is not infrastructure; missing provider/profile, transport, startup, or evidence requires examining the evidence before choosing the cause.

Use the existing family generator and viewer. Public projections may contain sanitized fixture conversation and allowlisted tool outcomes/evidence; follow the family's projection and publisher checks. Do not expose raw trusted artifacts, credentials, secrets, private data, provider session IDs, or hidden reasoning. A refresh from retained evidence has zero provider calls and remains the original measurement with a new presentation. Link the public histories and hub from doc/evals.md when reporting results.

For adding a case or fixture, use the narrower add-runner-eval or add-product-e2e-eval skill.

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