Run Evals
Devin-AXIS/iPolloWork
do e2e tests, run e2e, validate feature, prove it works, PR proof, frame proof, pnpm evals.
Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install paperclipai/paperclip paperclip-evals --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/paperclip-evals .claude/skills/paperclip-evals && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .claude/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evalsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install paperclipai/paperclip paperclip-evals --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/paperclip-evals .agents/skills/paperclip-evals && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .agents/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install paperclipai/paperclip paperclip-evals --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/paperclip-evals .cursor/skills/paperclip-evals && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .cursor/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/paperclipai/paperclip.git --path .agents/skills/paperclip-evals--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install paperclipai/paperclip paperclip-evals --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/paperclip-evals .gemini/skills/paperclip-evals && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .gemini/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install paperclipai/paperclip paperclip-evalsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/paperclip-evals .github/skills/paperclip-evals && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .github/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add paperclipai/paperclip --skill paperclip-evals -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install paperclipai/paperclip paperclip-evals --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/paperclip-evals .opencode/skills/paperclip-evals && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paperclip-evals" agent skill from https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-evals into .opencode/skills/paperclip-evals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip-evals", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
paperclip-evalsChoose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.
Paperclip Evals is an agent skill from paperclipai/paperclip. Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM evaluation and End-to-end testing. It works with pnpm. The repository describes itself as: The open-source app everyone uses to manage agents at work. The licence is MIT.
Read from SKILL.md and the folder at commit de9ab8e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pnpmgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Paperclip Evals loads about 839 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 386 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from paperclipai/paperclip at commit de9ab8e, republished under its MIT licence (© paperclipai). 386 words, ~839 tokens.
.claude/skills/paperclip-evals/SKILL.md (or your agent's skills folder).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.
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.
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.
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.
© paperclipai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/paperclip-evals of paperclipai/paperclip.
Open the folder on GitHubat commit de9ab8e
Paperclip Evals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paperclip Evals this skillpaperclipai/paperclip | 100k | — | ~839 | Automated safety check: Pass | MIT | |
| Run EvalsDevin-AXIS/iPolloWork | 6.8k | — | ~851 | Automated safety check: Pass | Custom licence | |
| Chatbox Session RAG Evalchatboxai/chatbox | 42k | — | ~758 | Automated safety check: Pass | GPL-3.0 | |
| Run Evalslycorp-jp/sim-use | 1.4k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Write A Specdifferent-ai/openwork | 24k | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| Phoenix Pxi PlaywrightArize-ai/phoenix | 12k | — | ~2.6k | Automated safety check: Pass | Custom licence |
Devin-AXIS/iPolloWork
do e2e tests, run e2e, validate feature, prove it works, PR proof, frame proof, pnpm evals.
chatboxai/chatbox
Runs and debugs evaluations of how Chatbox models answer questions about large attached files, using synthetic and real long-document fixtures.
lycorp-jp/sim-use
Prepare the environment and run the LLM-driven agent evals (e2e/agent-evals/) against a chosen sim-use binary.
different-ai/openwork
Write or extend an E2E journey spec in evals/specs that proves a PR's change to a human reviewer.
Arize-ai/phoenix
Write, extend, and debug PXI Playwright E2E tests for Phoenix.
Azure/azure-sdk-tools
Author and validate multi-tool, multi-turn, mock, and live Vally scenarios under evals/workflows.
paperclipai/paperclip
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections.
paperclipai/paperclip
Interact with the Paperclip control plane API for task coordination and governance.
paperclipai/paperclip
A skill your agent uses for Paperclip-managed tasks and heartbeats: reading task context, delivering task documents or files, updating completion or blockers, coordinating or delegating work, and…
paperclipai/paperclip
Paperclip UI design system guide for building consistent, reusable frontend components.
paperclipai/paperclip
Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host.
paperclipai/paperclip
Create new agents in Paperclip with governance-aware hiring.
Works with
Categories
Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification. Paperclip Evals is an agent skill from paperclipai/paperclip. Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classification.
Paperclip Evals fits situations like: tasks that involve LLM evaluation; tasks that involve End-to-end testing.
Run `npx skills add paperclipai/paperclip --skill paperclip-evals -a claude-code`. Or copy the skill folder (.agents/skills/paperclip-evals in paperclipai/paperclip) into .claude/skills/paperclip-evals in your project. Claude Code loads it when a task matches its description.
Run `npx skills add paperclipai/paperclip --skill paperclip-evals -a codex`. Or copy the skill folder (.agents/skills/paperclip-evals in paperclipai/paperclip) into .agents/skills/paperclip-evals in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add paperclipai/paperclip --skill paperclip-evals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paperclip-evals, .gemini/skills/paperclip-evals, .github/skills/paperclip-evals and .opencode/skills/paperclip-evals in your project.
Going by SKILL.md and its folder, Paperclip Evals needs the command-line tools its instructions call (pnpm and git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Paperclip Evals is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 839 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Paperclip Evals: Run Evals (Devin-AXIS/iPolloWork, 6.8k stars), Chatbox Session RAG Eval (chatboxai/chatbox, 42k stars), Run Evals (lycorp-jp/sim-use, 1.4k stars) and Write A Spec (different-ai/openwork, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
paperclipai (a GitHub organization) maintains it in paperclipai/paperclip, which has 99,905 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 11, 2026.
Source: paperclipai/paperclip on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.