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/maintain-verification-skill/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/maintain-verification-skill)<a href="https://agentmods.dev/skills/paperclipai/paperclip/maintain-verification-skill"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/maintain-verification-skill/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/maintain-verification-skill"><img src="https://agentmods.dev/badge/skills/paperclipai/paperclip/maintain-verification-skill.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 | $0.00051 | $0.01587 |
| Opus 5.5 | $0.00020 | $0.00635 |
| Sonnet 5.5 | $0.00010 | $0.00317 |
| Haiku 4.5 | $0.00005 | $0.00159 |
Grade A, and why
maintain-verification-skill 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 11d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintain a verification skill and its maps
Keep user journeys and agent access aligned with the app. For Paperclip, read the
map contract, the
feature index, and the
agent access index. These are sibling
maps under maps/, with the same area filenames and capability IDs. Preserve
Poteto's product format.
Agent companions follow the shared contract; they do not duplicate user recipes.
An API endpoint, an OpenAPI actor label, a declared scenario tool and an admitted production agent path are different evidence. Verify which permitted agent surface can actually express an operation. Track source review, operation review and executed proof separately. A source-only baseline is useful, but cannot certify complete coverage or live behavior.
Outcomes
Pick one and report source scope, live scope and remaining gaps separately:
- clean — the requested scope got source and live coverage, with no corrections.
- changed — proven skill/map/check corrections are ready to review; name any access gaps or unexecuted coverage that remains.
- blocked — requested coverage or a proven correction could not finish; name the unmet prerequisite and evidence captured so far.
A targeted audit covers its named areas; do not present it as a full pass. A full pass reads every area from source and exercises every reachable feature, plus relevant permitted-agent and denial paths. Report unreachable prerequisites and not-run operations rather than silently reducing the scope.
Edit scope
For Paperclip, edit the target verification skill, these maintenance instructions
when needed, maps/, and the map-specific structural check
scripts/check-maps.mjs / scripts/check-maps.test.mjs. Fix references to those
maps in contributor docs or skill instructions when their locations/IDs change.
Keep the maps in maps/{feature-map,agent-access-map}/, outside skill directories.
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.
- 11d ago Changed · +5 lines 188080b393cf
- 12d ago First seen · 125 lines · 51 tokens per session scan A fa85626c7c61
maintain-verification-skill is a skill published in the GitHub repository paperclipai/paperclip (107,044 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 1,587 once invoked, about $0.0002 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 2026-10-13.
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