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.
npx agentmods add commands/shyftlabs/continuum/swarm-prgit clone --depth 1 https://github.com/shyftlabs/continuumWrote 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/shyftlabs/continuum/swarm-pr)<a href="https://agentmods.dev/commands/shyftlabs/continuum/swarm-pr"><img src="https://agentmods.dev/badge/commands/shyftlabs/continuum/swarm-pr.svg" alt="Measured on agentmods" 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 | $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 4d 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.
- 4d ago First seen · 285 lines · 0 tokens per session scan A 9f364ea2a6b6
swarm-pr is a command published in the GitHub repository shyftlabs/continuum (84 stars, last pushed yesterday), licensed Apache-2.0. 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
end-to-end-run
Run one real objective through the whole orchestration loop as an operator, through the dashboard only, recording every collapse before fixing any of it.
pre-pr-review
Pre-PR review pipeline (checks + review agents + fixes + create PR).
aurelio-review-pr
Full PR review pipeline (local agents + external feedback + triage + fixes).
setup-live-iterative
Stand up the local dev arm (backend from this worktree, in the running stack) plus a live-reload frontend.
new-setting
Add a settings knob end to end (definition, precedence, hot-reload, visibility).
post-merge-cleanup
Post-merge branch cleanup.