A read-only command that reviews a GitHub pull request and reports the reviewer's findings without changing files, pushing commits, or resolving discussion threads.

Use it to check a GitHub pull request for issues and receive a verdict and findings. It can also save maintainer relevance rules for future reviews.

It lets you get feedback on a pull request while leaving your working tree and the pull request untouched.

pr-review — Skill for Claude Code by mthines/agent-skills

Install

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.

Any agent

npx skills add mthines/agent-skills --skill pr-review

Clone the repo

git clone --depth 1 https://github.com/mthines/agent-skills

Made for: Claude Code.

Or install mthines-agent-skills, the plugin that ships this one along with the rest of its 49 skills, 3 agents.

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/mthines/agent-skills/pr-review/github.svg)](https://agentmods.dev/skills/mthines/agent-skills/pr-review)

Your own site

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

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,902 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original 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	$0.00056	$0.03902
Opus 5.5	$0.00022	$0.01561
Sonnet 5.5	$0.00011	$0.00780
Haiku 4.5	$0.00006	$0.00390

Measured 7d ago against content hash dfb1a1e9c7f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-review 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 7d 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.

skills/quality/pr-review/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/pr-review — one-shot read-only PR review

Dispatch the pr-reviewer agent at a PR and report what came back. It never applies a finding, never pushes, and never resolves a thread. Why each choice below exists: references/design-rationale.md.

Operations
Before Step 0: on a Dash0 Agent0 host
Step 0: Parse the argument · Step 1: Resolve the PR
Step 2: Dispatch the agent · Worker preamble · When sub-agent dispatch is unavailable
Step 3: Report
Locating the support tree
Hard rules

Operations

Parse the first token of $ARGUMENTS.

First token	Operation	Runs
`remember`	memory write — read `rules/remember.md`	one `mcp__lorekit__memory_write`, no review
anything else (or empty)	review	one `pr-reviewer` dispatch, read-only

No mode turns this command into an apply pass; a request to fix findings is review-loop or /implement-suggestion (which command). Inside review-loop, --no-feedback is this command's report-only counterpart.

Before Step 0: on a Dash0 Agent0 host

Agent0 cannot dispatch the custom pr-reviewer type, and its import can hold this SKILL.md alone. Settle this before Step 0 and before any dispatch, by file presence and never from a failed dispatch. It governs the review operation; remember dispatches nothing and resolves its tree on its own.

Prepared — /tmp/workspace/agent-skills/env.sh exists. Source it (. /tmp/workspace/agent-skills/env.sh) in every Bash call; it exports AGENT_SUPPORT, AGENT_SKILLS_ROOT, and AGENT_SKILLS_COMMIT. Read linked files from the install, never from the imported folder: this skill's rules/ and references/ from $AGENT_SKILLS_ROOT/skills/pr-review/, a sibling skill from $AGENT_SKILLS_ROOT/skills/<name>/, and every agents/<path> link from $AGENT_SKILLS_ROOT/<path>. When $AGENT_SKILLS_ROOT/skills/pr-review/SKILL.md differs from the copy you are running, or you cannot compare them, follow the installed copy: the installed copy at $AGENT_SKILLS_COMMIT wins, because the files it links come from that commit. Then make the dispatch substitutions in $AGENT_SKILLS_ROOT/shared/rules/agent0-host.md: pr-reviewer becomes a general sub-agent that reads $AGENT_SKILLS_ROOT/pr-reviewer.agent0.md, and the intent worker's type is general.
Unprepared — no env.sh, but /tmp/workspace, /tmp/.opencode/skills/, or /tmp/.opencode/agents/general.md exists. This skill does not install. Stop with /pr-review — skipped (Agent0 sandbox not prepared; run /review-loop <PR> --no-feedback, which installs on demand and reviews once). After that install, /pr-review takes the prepared branch.
Neither — not Agent0. Continue with Step 0.

Read the full file on GitHub · 247 lines

Files

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.

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.

7d ago Changed · -167 lines · -22 tokens per session dfb1a1e9c7f6
8d ago Changed · +17 lines e09bc9cdc4f7
10d ago Changed 6d3f38ad9821
25d ago Changed · -1 lines 941b27da1ae1
28d ago Changed · +120 lines 24aa45cf6a09
1mo ago Changed · +10 lines 9fe06fb06d47
1mo ago First seen · 268 lines · 78 tokens per session scan A 76b7bc0ed49c

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository mthines/agent-skills (20 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 3,902 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 2026-09-04.

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pr-review