Borrowing it
Nothing to install: this file belongs to y-hirakaw/mcp-gh-pr-mini. 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/y-hirakaw/mcp-gh-pr-mini/main/.claude/skills/gh-pr-reviewers/SKILL.mdgit clone --depth 1 https://github.com/y-hirakaw/mcp-gh-pr-miniWrote 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/y-hirakaw/mcp-gh-pr-mini/gh-pr-reviewers)<a href="https://agentmods.dev/skills/y-hirakaw/mcp-gh-pr-mini/gh-pr-reviewers"><img src="https://agentmods.dev/badge/skills/y-hirakaw/mcp-gh-pr-mini/gh-pr-reviewers/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/y-hirakaw/mcp-gh-pr-mini/gh-pr-reviewers"><img src="https://agentmods.dev/badge/skills/y-hirakaw/mcp-gh-pr-mini/gh-pr-reviewers.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 | $0.00031 | $0.00297 |
| Opus 5 | $0.00015 | $0.00148 |
| Sonnet 5 | $0.00006 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
gh-pr-reviewers 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 12d 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
gh-pr-reviewers
Request reviewers for a GitHub pull request. Adds one or more GitHub users as requested reviewers on a specified PR.
Command
python3 .claude/skills/gh-pr-reviewers/scripts/request_reviewers.py --owner OWNER --repo REPO --pr-number PR_NUMBER --reviewers USER1,USER2
Arguments
| Argument | Required | Description |
|---|---|---|
--owner |
Yes | Repository owner (username or organization) |
--repo |
Yes | Repository name |
--pr-number |
Yes | Pull request number |
--reviewers |
Yes | Comma-separated list of GitHub usernames to request as reviewers |
Examples
Request a single reviewer:
python3 .claude/skills/gh-pr-reviewers/scripts/request_reviewers.py --owner octocat --repo hello-world --pr-number 42 --reviewers alice
Request multiple reviewers:
python3 .claude/skills/gh-pr-reviewers/scripts/request_reviewers.py --owner octocat --repo hello-world --pr-number 42 --reviewers alice,bob,charlie
What ships with it
1 file 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.
- 12d ago First seen · 37 lines · 31 tokens per session scan A e7f7acd84ef7
gh-pr-reviewers is a skill published in the GitHub repository y-hirakaw/mcp-gh-pr-mini (0 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 297 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 2026-08-31.
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