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 in-the-loop-labs/pair-review --skill prgit clone --depth 1 https://github.com/in-the-loop-labs/pair-reviewWrote 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/in-the-loop-labs/pair-review/pr)<a href="https://agentmods.dev/skills/in-the-loop-labs/pair-review/pr"><img src="https://agentmods.dev/badge/skills/in-the-loop-labs/pair-review/pr.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 27 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00167 | $0.00319 |
| Opus 5 | $0.00084 | $0.00160 |
| Sonnet 5 | $0.00033 | $0.00064 |
| Haiku 4.5 | $0.00017 | $0.00032 |
Grade A, and why
pr 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 8d 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
PR Review
Open the current branch's GitHub PR in the pair-review web UI.
Steps
- Call the
mcp__pair-review__get_server_infotool to get the server URL. - Determine the GitHub owner, repo, and PR number for the current branch.
- Open the browser:
open "{url}/pr/{owner}/{repo}/{number}"
Error handling
- If
get_server_infofails, tell the user to start pair-review first:npx @in-the-loop-labs/pair-review --mcp - If no PR exists for the current branch, tell the user.
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.
- 8d ago First seen · 29 lines · 167 tokens per session scan A 5ae765ac945d
pr is a skill published in the GitHub repository in-the-loop-labs/pair-review (57 stars, last pushed yesterday), licensed Apache-2.0. It adds 167 tokens to every session and 319 once invoked, about $0.0008 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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