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.
git clone --depth 1 https://github.com/ruvnet/ruv-FANNWrote 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/commands/ruvnet/ruv-fann/swarm-pr)<a href="https://agentmods.dev/commands/ruvnet/ruv-fann/swarm-pr"><img src="https://agentmods.dev/badge/commands/ruvnet/ruv-fann/swarm-pr/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/commands/ruvnet/ruv-fann/swarm-pr"><img src="https://agentmods.dev/badge/commands/ruvnet/ruv-fann/swarm-pr.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 | $0.00000 | $0.01850 |
| Opus 5 | $0.00000 | $0.00925 |
| Sonnet 5 | $0.00000 | $0.00370 |
| Haiku 4.5 | $0.00000 | $0.00185 |
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 10d 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 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.
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
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.
- 10d ago First seen · 285 lines · 0 tokens per session scan A 9f364ea2a6b6
swarm-pr is a command published in the GitHub repository ruvnet/ruv-FANN (380 stars, last pushed 1mo 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.
Other commands, from other repositories
land
Cadence-tick autonomous PR babysitter (CI-fix, resolve, converge, merge, close, release).
release-notes
Generate consistent, well-structured release notes from git history. Triggered on release tags following semver patterns (v..) to produce categorized changelog with breaking changes, features, fixes, and contributor attribution.
ship
Ship is the operational release-prep flow for a connected project repo.
release-plan
A release-planning command for a software change. It documents the release scope, rollback plan, gradual or full rollout, and monitoring before waiting for human approval.
release
Standalone SDK release command for the BUILD repo. Not a workspace phase — runs independently after any number of implement/redteam cycles. Handles PyPI publishing, documentation deployment, and CI management for the kailash Python SDK and its framework packages.
create-pr
Push the current branch and open a pull request into main with a structured description derived from the branch's commits and issue references.