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/pr-report/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/pr-report)<a href="https://agentmods.dev/skills/paperclipai/paperclip/pr-report"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/pr-report/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/pr-report"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/pr-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01111 |
| Opus 5 | $0.00019 | $0.00556 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
pr-report 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 9d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Report Skill
Produce a maintainer-grade review of a PR, branch, or large contribution.
Default posture:
- understand the change before judging it
- explain the system as built, not just the diff
- separate architectural problems from product-scope objections
- make a concrete recommendation, not a vague impression
When to Use
Use this skill when the user asks for things like:
- "review this PR deeply"
- "explain this contribution to me"
- "make me a report or webpage for this PR"
- "compare this design to similar systems"
- "should I merge this?"
Outputs
Common outputs:
- standalone HTML report in
tmp/reports/... - Markdown report in
report/or another requested folder - short maintainer summary in chat
If the user asks for a webpage, build a polished standalone HTML artifact with clear sections and readable visual hierarchy.
Resources bundled with this skill:
references/style-guide.mdfor visual direction and report presentation rulesassets/html-report-starter.htmlfor a reusable standalone HTML/CSS starter
Workflow
1. Acquire and frame the target
Work from local code when possible, not just the GitHub PR page.
Gather:
- target branch or worktree
- diff size and changed subsystems
- relevant repo docs, specs, and invariants
- contributor intent if it is documented in PR text or design docs
Start by answering: what is this change trying to become?
2. Build a mental model of the system
Do not stop at file-by-file notes. Reconstruct the design:
- what new runtime or contract exists
- which layers changed: db, shared types, server, UI, CLI, docs
- lifecycle: install, startup, execution, UI, failure, disablement
- trust boundary: what code runs where, under what authority
For large contributions, include a tutorial-style section that teaches the system from first principles.
3. Review like a maintainer
Findings come first. Order by severity.
Prioritize:
- behavioral regressions
- trust or security gaps
- misleading abstractions
- lifecycle and operational risks
- coupling that will be hard to unwind
- missing tests or unverifiable claims
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 202 lines · 39 tokens per session scan A d4abb3074956
pr-report is a skill published in the GitHub repository paperclipai/paperclip (80,206 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 1,111 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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