Borrowing it
Nothing to install: this file belongs to aegntic/cldcde. 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/aegntic/cldcde/main/.claude/skills/github-code-review/SKILL.mdgit clone --depth 1 https://github.com/aegntic/cldcdeWrote 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/aegntic/cldcde/github-code-review)<a href="https://agentmods.dev/skills/aegntic/cldcde/github-code-review"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/github-code-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.
<a href="https://agentmods.dev/skills/aegntic/cldcde/github-code-review"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/github-code-review.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 | $0.00015 | $0.06644 |
| Opus 5.5 | $0.00006 | $0.02658 |
| Sonnet 5.5 | $0.00003 | $0.01329 |
| Haiku 4.5 | $0.00002 | $0.00664 |
Grade A, and why
github-code-review scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
const { execSync } = require('child_process'); This is a copy
100% identical to github-code-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Code Review Skill
AI-Powered Code Review: Deploy specialized review agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
🎯 Quick Start
Simple Review
# Initialize review swarm for PR
gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123
# Post review status
gh pr comment 123 --body "🔍 Multi-agent code review initiated"
Complete Review Workflow
# Get PR context with gh CLI
PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
PR_DIFF=$(gh pr diff 123)
# Initialize comprehensive review
npx ruv-swarm github review-init \
--pr 123 \
--pr-data "$PR_DATA" \
--diff "$PR_DIFF" \
--agents "security,performance,style,architecture,accessibility" \
--depth comprehensive
📚 Table of Contents
- Multi-Agent Review System
- Specialized Review Agents
- PR-Based Swarm Management
- Automated Workflows
- Quality Gates & Checks
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 First seen · 1,141 lines · 15 tokens per session scan A 6ed59c79ed71
github-code-review is a skill published in the GitHub repository aegntic/cldcde (12 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 6,644 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 100% identical to github-code-review, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
github-code-review
Comprehensive GitHub pull-request code review with multi-agent coordination. Use when reviewing a PR or diff, auditing changes for correctness/security/style before merge, or generating actionable inline review comments.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination.