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.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add paperclipai/paperclip --skill wiki-maintainergit 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/wiki-maintainer)<a href="https://agentmods.dev/skills/paperclipai/paperclip/wiki-maintainer"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/wiki-maintainer/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/wiki-maintainer"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/wiki-maintainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00021 | $0.00213 |
| Opus 5.5 | $0.00008 | $0.00085 |
| Sonnet 5.5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
LLM Wiki Maintainer 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.
What it actually says
LLM Wiki Maintainer
Use this skill when maintaining the company LLM Wiki, answering questions from it, ingesting durable source material, refreshing the index, or linting wiki structure.
Before changing wiki files, resolve the configured wiki root, read its AGENTS.md, inspect wiki/index.md and recent wiki/log.md entries, then use the LLM Wiki plugin tools for source reads, page writes, patch proposals, backlinks, and logging.
Keep raw sources immutable, cite wiki pages and raw paths, update wiki/index.md when page navigation changes, and append a concise wiki/log.md entry for durable updates. For Paperclip project work, keep wiki/projects/<project-slug>/standup.md current as the executive status view and use wiki/projects/<project-slug>/index.md for durable project knowledge. Write project material as concept-grouped executive synthesis, not issue-id lists or metadata dumps.
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 · 13 lines · 21 tokens per session scan A 9df088b7a6ac
LLM Wiki Maintainer is a skill published in the GitHub repository paperclipai/paperclip (107,300 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 213 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 2026-08-30.
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