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Agent skill

GitHub Swarm Code Review

by ruvnet in ruvnet/agentic-flow

Reviews GitHub pull requests with a swarm of specialized agents covering security, performance, architecture, style and accessibility, driven by the gh CLI and ruv-swarm.

No licenceAuto-check passedDevelopment

Install GitHub Swarm Code Review

skills CLI
$ npx skills add ruvnet/agentic-flow --skill github-code-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/agentic-flow github-code-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/agentic-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/github-code-review .claude/skills/github-code-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
github-code-review
GitHub stars
816
Used in
6 other repos
Token cost
~6.5k tokens
SKILL.md length
668 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
None found

At a glance

Reviews GitHub pull requests with a swarm of specialized agents covering security, performance, architecture, style and accessibility, driven by the gh CLI and ruv-swarm.

  • Works in 5 steps: Review Configuration → Comment Quality → Performance Optimization → …
  • Reviewing a pull request for security, performance and style at the same time
  • SKILL.md covers 🎯 Quick Start, 📚 Table of Contents, 🚀 Core Features and 🤖 Specialized Review Agents, plus 7 more sections
  • Calls npx, gh and jq; needs GITHUB_TOKEN

What it does

The skill reads a pull request's files, diff, title and description with the gh CLI and hands them to a review swarm started through ruv-swarm. Instead of one general pass, separate agents get a focus (security, performance, architecture, style and conventions, accessibility) and review in parallel. Custom review agents can be added for other concerns.

Beyond the review itself, the skill describes PR-based swarm management, quality gates and checks, reviews that take project context into account, learning from earlier reviews, and analysis across several pull requests. It also lists integration points: CI/CD, webhook handlers, commands typed in PR comments and automated fixes. The command examples use pull request 123.

When your agent uses it

  • Reviewing a pull request for security, performance and style at the same time
  • Adding automated review checks for pull requests to a CI pipeline
  • Setting up PR comment commands or webhooks that trigger reviews

Example prompts

  • “Review PR 123 with a swarm of agents and report the security and performance findings.”
  • “Set up quality gates that run an automated review on every pull request.”
  • “Have an accessibility agent look at the frontend changes in the open PR.”

Requirements

  • The GitHub CLI (gh), authenticated for the repository
  • ruv-swarm, run through npx

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Review Configuration
  2. Comment Quality
  3. Performance Optimization
  4. PR Templates
  5. Auto-Merge When Ready

What it can do on your machine

Read from SKILL.md and the folder at commit e993605. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx
    • gh
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • cli.github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GITHUB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

GitHub Swarm Code Review loads about 6.5k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 668 words (~6,490 tokens).

“Deploy specialized AI agents for comprehensive code review:”

— opening of SKILL.md by ruvnet
name
github-code-review
version
1.0.0
category
github
tags
code-review, github, swarm, pr-management, automation
author
Claude Code Flow
requires
github-cli, ruv-swarm, claude-flow
capabilities
Multi-agent code review, Automated PR management, Security and performance analysis, Swarm-based review orchestration, Intelligent comment generation, Quality…

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/github-code-review of ruvnet/agentic-flow.

Open the folder on GitHubat commit e993605

Used in 10 other repositories

We found 19 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in ruvnet/agentic-flow, which our catalogue first saw on October 7, 2026.

Compare with similar skills

GitHub Swarm Code Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

GitHub Swarm Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GitHub Swarm Code Review this skillruvnet/agentic-flow8166 repos~6.5kAutomated safety check: PassNone
Code Reviewsortie-ai/sortie196—~2.9kAutomated safety check: PassMIT
PR Deep VerificationQwenLM/qwen-code28k—~18kAutomated safety check: PassApache-2.0
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0
Cherry Studio PR ReviewCherryHQ/cherry-studio52k—~3.9kAutomated safety check: PassAGPL-3.0
PR Reviewjaemk/self_update961—~1.5kAutomated safety check: NotesMIT

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Works with

Categories

Questions about GitHub Swarm Code Review

What does GitHub Swarm Code Review do?

Reviews GitHub pull requests with a swarm of specialized agents covering security, performance, architecture, style and accessibility, driven by the gh CLI and ruv-swarm. The skill reads a pull request's files, diff, title and description with the gh CLI and hands them to a review swarm started through ruv-swarm. Instead of one general pass, separate agents get a focus (security, performance, architecture, style and conventions, accessibility) and review in parallel.

When should I use GitHub Swarm Code Review?

GitHub Swarm Code Review fits situations like: reviewing a pull request for security, performance and style at the same time; adding automated review checks for pull requests to a CI pipeline; setting up PR comment commands or webhooks that trigger reviews.

How do I install GitHub Swarm Code Review in Claude Code?

Run `npx skills add ruvnet/agentic-flow --skill github-code-review -a claude-code`. Or copy the skill folder (.claude/skills/github-code-review in ruvnet/agentic-flow) into .claude/skills/github-code-review in your project. Claude Code loads it when a task matches its description.

How do I install GitHub Swarm Code Review in Codex?

Run `npx skills add ruvnet/agentic-flow --skill github-code-review -a codex`. Or copy the skill folder (.claude/skills/github-code-review in ruvnet/agentic-flow) into .agents/skills/github-code-review in your project. Codex loads it when a task matches its description.

Can I use GitHub Swarm Code Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/agentic-flow --skill github-code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-code-review, .gemini/skills/github-code-review, .github/skills/github-code-review and .opencode/skills/github-code-review in your project.

What does GitHub Swarm Code Review need to run?

Going by SKILL.md and its folder, GitHub Swarm Code Review needs the command-line tools its instructions call (npx, gh and jq) and credentials named GITHUB_TOKEN. Our summary lists: The GitHub CLI (gh), authenticated for the repository; ruv-swarm, run through npx.

Does GitHub Swarm Code Review access the network?

SKILL.md names 2 domains. As links in the text: github.com and cli.github.com. This is read from the text; nothing was executed.

Is GitHub Swarm Code Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does GitHub Swarm Code Review use?

No licence was found for GitHub Swarm Code Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does GitHub Swarm Code Review use?

About 6.5k tokens (SKILL.md is roughly 26k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to GitHub Swarm Code Review?

Skills that share tags, products or a category with GitHub Swarm Code Review: Code Review (sortie-ai/sortie, 196 stars), PR Deep Verification (QwenLM/qwen-code, 28k stars), GitHub Review Iteration (prisma/orm, 48k stars) and Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GitHub Swarm Code Review?

ruvnet (a GitHub user) maintains it in ruvnet/agentic-flow, which has 816 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 16, 2026.

Source: ruvnet/agentic-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.