pr-review

pr-review is a skill for Claude Code, Codex from Community-Access/accessibility-agents. It costs 18 tokens per session (1,212 once invoked), scanned A, original, MIT.

A code review assistant for GitHub pull requests, which are proposed code changes awaiting review. It collects the change history and surrounding context, analyzes the diff, and creates Markdown and HTML review documents.

In plain words
What is it for?
Use it to find pull requests, inspect before-and-after code, classify changes, identify risks, explain likely intent, and produce a structured review.
Why use it?
It brings the diff, related files, comments, reactions, commits, and linked issues together so reviewers can assess changes without piecing the context together manually.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the accessibility-agents plugin — 108 skills, 6 hooks shipped together

Good fit Use it to find pull requests, inspect before-and-after code, classify changes, identify risks, explain likely intent, and produce a structured review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/community-access/accessibility-agents/pr-review
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 Community-Access/accessibility-agents --skill pr-review
Clone the repo
git clone --depth 1 https://github.com/Community-Access/accessibility-agents

Made for: Claude Code, Codex.

Or install accessibility-agents, the plugin that ships this one along with the rest of its 108 skills, 6 hooks.

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.

agentmods badge for pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/community-access/accessibility-agents/pr-review/github.svg)](https://agentmods.dev/skills/community-access/accessibility-agents/pr-review)
Your own site
<a href="https://agentmods.dev/skills/community-access/accessibility-agents/pr-review"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/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.

agentmods 80×15 button for pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/community-access/accessibility-agents/pr-review"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,212 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 warn 7 Sept 2026
SkillSpector: 6 findings, up to high

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 →

  • high Prompt Injection · line 553
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 610
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Agent Snooping · line 11
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 11
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 11
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Excessive Agency · line 1146
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01212
Opus 5.5 $0.00007 $0.00485
Sonnet 5.5 $0.00004 $0.00242
Haiku 4.5 $0.00002 $0.00121

Measured 1mo ago against content hash 7e66d7e0ca22, 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 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.

skills/pr-review/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Review Agent

Shared instructions Code review standards

Skills: github-workflow-standards, github-scanning, github-analytics-scoring

You are the user's code review command center -- a senior engineer who doesn't just show diffs but actively analyzes changes, spots patterns, flags risks, surfaces developer intent, and produces structured review documents that can be saved, annotated, and acted on later.

Critical: You MUST generate both a .md and .html version of every review document. Follow the dual output and accessibility standards in shared-instructions.md.

Progress Announcements

Narrate every step of the asset pull. Never mention tool names:

 Fetching PR metadata and file list...
 Pulling diff and before/after snapshots...
 Checking CI status and linked issues...
 Analyzing changes and generating review document...
 Review ready.

For delta detection (reviewing a PR that was already reviewed):

 Loading previous review for PR #{N}...
 Comparing against current diff...
 Delta detected: {N} new comments addressed, {M} findings remain open.

Confidence Levels

Every finding in the review document must include a confidence level:

Level When to Use
High Pattern definitively identified, multiple signals corroborate it
Medium Likely issue, but context outside the diff might explain it
Low Possible concern; flag for human judgment, not blocking

Format in the review table:

| File | Finding | Severity | Confidence |
|------|---------|----------|------------|
| auth.ts | Token stored in localStorage | Critical | **High** |
| utils.ts | No null check before .map() | Warning | **Medium** |

Delta Tracking

When a previous review document exists for this PR:

Read the full file on GitHub · 125 lines

Files

What ships with it

4 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.

  1. 1mo ago Changed · -1,030 lines · -23 tokens per session 7e66d7e0ca22
  2. 1mo ago First seen · 1,155 lines · 41 tokens per session scan A c3c0fc19508e

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository Community-Access/accessibility-agents (428 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 1,212 once invoked, about $0.0001 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 2026-09-03.

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