MCPInstall

paperclip-evals

Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/paperclipai/paperclip --skill paperclip-evals
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads paperclip-evals automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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.

FAQ

What does the paperclip-evals skill do?

Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.

How do I install paperclip-evals?

Run npx skills add https://github.com/paperclipai/paperclip --skill paperclip-evals in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/paperclip-evals/ (personal) or .claude/skills/paperclip-evals/ (project).

Which AI agents can use paperclip-evals?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is paperclip-evals safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains paperclip-evals?

It is published by paperclipai in paperclipai/paperclip. It has 41 recorded installs.

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