Paperclip is a Node.js server and React application for coordinating AI agents as a business team, with goals, organizational roles, budgets, governance, and work tracking in one interface. It is used by people managing multiple agents or autonomous agent organizations across tools such as OpenClaw, Claude Code, Codex, and Cursor. The catalogue includes skills, agents, an MCP add-on, and an instruction for working with Paperclip.
Borrowing it
Nothing to install: this file belongs to paperclipai/paperclip. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/paperclipai/paperclip/master/.agents/skills/paperclip-evals/SKILL.mdgit clone --depth 1 https://github.com/paperclipai/paperclipWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/paperclipai/paperclip/paperclip-evals)<a href="https://agentmods.dev/skills/paperclipai/paperclip/paperclip-evals"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/paperclip-evals/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/paperclipai/paperclip/paperclip-evals"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/paperclip-evals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00744 |
| Opus 5.5 | $0.00014 | $0.00298 |
| Sonnet 5.5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
paperclip-evals scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 64 lines · 34 tokens per session scan A 0b220dd2afa5
paperclip-evals is a skill published in the GitHub repository paperclipai/paperclip (107,044 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 744 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-17.
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