A command set for creating and controlling AI-agent groups through GitHub pull requests. A pull request is a proposed code change that teammates review before it is merged.

Use it to create swarms from pull-request details, start agents based on labels, run commands from pull-request comments, and automate these actions with GitHub Actions.

It puts swarm setup, agent commands, and status checks inside an existing code-review workflow instead of requiring a separate control process.

swarm-pr — Command by f-amine

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.

agentmods

npx agentmods add commands/f-amine/vibe-stack/swarm-pr

Clone the repo

git clone --depth 1 https://github.com/f-amine/vibe-stack

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,850 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

Origin 100% copy Near-identical to another mod 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	$0.00000	$0.01850
Opus 5	$0.00000	$0.00925
Sonnet 5	$0.00000	$0.00370
Haiku 4.5	$0.00000	$0.00185

Measured 2d ago against content hash 9f364ea2a6b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

swarm-pr 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 2d 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');

Origin

This is a copy

100% identical to swarm-pr — 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.

.claude/commands/github/swarm-pr.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Swarm PR - Managing Swarms through Pull Requests

Overview

Create and manage AI swarms directly from GitHub Pull Requests, enabling seamless integration with your development workflow.

Core Features

1. PR-Based Swarm Creation

# Create swarm from PR description using gh CLI
gh pr view 123 --json body,title,labels,files | npx ruv-swarm swarm create-from-pr

# Auto-spawn agents based on PR labels
gh pr view 123 --json labels | npx ruv-swarm swarm auto-spawn

# Create swarm with PR context
gh pr view 123 --json body,labels,author,assignees | \
  npx ruv-swarm swarm init --from-pr-data

2. PR Comment Commands

Execute swarm commands via PR comments:

<!-- In PR comment -->
/swarm init mesh 6
/swarm spawn coder "Implement authentication"
/swarm spawn tester "Write unit tests"
/swarm status

3. Automated PR Workflows

# .github/workflows/swarm-pr.yml
name: Swarm PR Handler
on:
  pull_request:
    types: [opened, labeled]
  issue_comment:
    types: [created]

jobs:
  swarm-handler:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Handle Swarm Command
        run: |
          if [[ "${{ github.event.comment.body }}" == /swarm* ]]; then
            npx ruv-swarm github handle-comment \
              --pr ${{ github.event.pull_request.number }} \
              --comment "${{ github.event.comment.body }}"
          fi

PR Label Integration

Automatic Agent Assignment

Map PR labels to agent types:

{
  "label-mapping": {
    "bug": ["debugger", "tester"],
    "feature": ["architect", "coder", "tester"],
    "refactor": ["analyst", "coder"],
    "docs": ["researcher", "writer"],
    "performance": ["analyst", "optimizer"]
  }
}

Label-Based Topology

# Small PR (< 100 lines): ring topology
# Medium PR (100-500 lines): mesh topology  
# Large PR (> 500 lines): hierarchical topology
npx ruv-swarm github pr-topology --pr 123

PR Swarm Commands

Initialize from PR

# Create swarm with PR context using gh CLI
PR_DIFF=$(gh pr diff 123)
PR_INFO=$(gh pr view 123 --json title,body,labels,files,reviews)

npx ruv-swarm github pr-init 123 \
  --auto-agents \
  --pr-data "$PR_INFO" \
  --diff "$PR_DIFF" \
  --analyze-impact

Read the full file on GitHub · 285 lines

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.

2d ago First seen · 285 lines · 0 tokens per session scan A 9f364ea2a6b6

Subscribe to this mod's changes

swarm-pr is a command published in the GitHub repository f-amine/vibe-stack (21 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,850 tokens. A static security scan graded it A with 1 finding (runs shell commands). It is 100% identical to swarm-pr, differing in 0 lines, and is treated as a copy.

Code review Frontend Security ai better-auth claude claude-code drizzle-orm nextjs

swarm-pr