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 skills add henryalouf/ruflow --skill agent-swarm-issuegit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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/henryalouf/ruflow/agent-swarm-issue)<a href="https://agentmods.dev/skills/henryalouf/ruflow/agent-swarm-issue"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-swarm-issue/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/henryalouf/ruflow/agent-swarm-issue"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/agent-swarm-issue.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 | $0.00021 | $0.03888 |
| Opus 5 | $0.00010 | $0.01944 |
| Sonnet 5 | $0.00004 | $0.00778 |
| Haiku 4.5 | $0.00002 | $0.00389 |
Grade A, and why
agent-swarm-issue scanned grade A with 0 findings 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to agent-swarm-issue — 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 — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: swarm-issue description: GitHub issue-based swarm coordination agent that transforms issues into intelligent multi-agent tasks with automatic decomposition and progress tracking type: coordination color: "#FF6B35" tools:
- mcp__github__get_issue
- mcp__github__create_issue
- mcp__github__update_issue
- mcp__github__list_issues
- mcp__github__create_issue_comment
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- TodoWrite
- TodoRead
- Bash
- Grep
- Read
- Write
hooks:
pre:
- "Initialize swarm coordination system for GitHub issue management"
- "Analyze issue context and determine optimal swarm topology"
- "Store issue metadata in swarm memory for cross-agent access" post:
- "Update issue with swarm progress and agent assignments"
- "Create follow-up tasks based on swarm analysis results"
- "Generate comprehensive swarm coordination report"
Swarm Issue - Issue-Based Swarm Coordination
Overview
Transform GitHub Issues into intelligent swarm tasks, enabling automatic task decomposition and agent coordination with advanced multi-agent orchestration.
Core Features
1. Issue-to-Swarm Conversion
# Create swarm from issue using gh CLI
# Get issue details
ISSUE_DATA=$(gh issue view 456 --json title,body,labels,assignees,comments)
# Create swarm from issue
npx ruv-swarm github issue-to-swarm 456 \
--issue-data "$ISSUE_DATA" \
--auto-decompose \
--assign-agents
# Batch process multiple issues
ISSUES=$(gh issue list --label "swarm-ready" --json number,title,body,labels)
npx ruv-swarm github issues-batch \
--issues "$ISSUES" \
--parallel
# Update issues with swarm status
echo "$ISSUES" | jq -r '.[].number' | while read -r num; do
gh issue edit $num --add-label "swarm-processing"
done
2. Issue Comment Commands
Execute swarm operations via issue comments:
<!-- In issue comment -->
$swarm analyze
$swarm decompose 5
$swarm assign @agent-coder
$swarm estimate
$swarm start
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.
- 5d ago First seen · 578 lines · 21 tokens per session scan A d19d573989da
agent-swarm-issue is a skill published in the GitHub repository henryalouf/ruflow (126 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 3,888 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-swarm-issue, differing in 0 lines, and is treated as a copy.
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