What is implement-review-pr?

A reviewer for GitHub pull requests, which are proposed code changes, checking automated test results, code quality, common security risks, and commit-message conventions.

Use it to review a numbered GitHub pull request, including its CI checks, OWASP Top 10 security risks, and Conventional Commits compliance.

It brings the main pull-request checks into one review and can record an approval, requested changes, or a comment on GitHub.

How Fandhe-AI/agent-reference-skills configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Fandhe-AI/agent-reference-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Fandhe-AI/agent-reference-skills/main/.agents/skills/implement-review-pr/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Fandhe-AI/agent-reference-skills

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/implement-review-pr/github.svg)](https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/implement-review-pr)

Your own site

<a href="https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/implement-review-pr"><img src="https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/implement-review-pr/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/implement-review-pr"><img src="https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/implement-review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,239 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00097	$0.02239
Opus 5.5	$0.00039	$0.00896
Sonnet 5.5	$0.00019	$0.00448
Haiku 4.5	$0.00010	$0.00224

Measured 1mo ago against content hash c01e966fbac8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement-review-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 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.

.agents/skills/implement-review-pr/SKILL.md · 174 lines

The source is not reproduced here

No licence file

Read it on GitHub

Changes

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 Changed c01e966fbac8
1mo ago Changed a539ff52c052
2mo ago First seen · 174 lines · 97 tokens per session scan A 21fcea051e8c

Subscribe to this mod's changes

implement-review-pr is a skill published in the GitHub repository Fandhe-AI/agent-reference-skills (4 stars, last pushed 2d ago), with no licence file. It adds 97 tokens to every session and 2,239 once invoked, about $0.0004 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 2026-08-31.

Code review Security

implement-review-pr next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
implement-review-prFandhe-AI/agent-reference-skills	Skill	4	2d ago	none	A	97	Claude Code
autoreviewopenclaw/clawhub	Skill	9.5k	yesterday	MIT	A	17	Claude Code, Codex
agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills	Skill	2.2k	5d ago	MIT	A	115	Claude Code, Codex
omh-code-reviewrlaope/oh-my-hermes	Skill	5.2k	yesterday	MIT	A	48	Claude Code, Codex
revdiff-planumputun/revdiff	Skill	945	yesterday	MIT	A	84	Claude Code
explore-unknownsdzhng/skills	Skill	1.4k	2d ago	MIT	A	162	Claude Code, Codex
re0-mergeLilMGenius/paperthin	Skill	1.4k	4d ago	MIT	A	70	Claude Code

agent-reference-skills: Skill for Claude Code