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 Soulcynics404/AgentForge --skill agent-release-swarmgit clone --depth 1 https://github.com/Soulcynics404/AgentForgeWrote 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/soulcynics404/agentforge/agent-release-swarm)<a href="https://agentmods.dev/skills/soulcynics404/agentforge/agent-release-swarm"><img src="https://agentmods.dev/badge/skills/soulcynics404/agentforge/agent-release-swarm/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/soulcynics404/agentforge/agent-release-swarm"><img src="https://agentmods.dev/badge/skills/soulcynics404/agentforge/agent-release-swarm.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 | $0.00019 | $0.03691 |
| Opus 5.5 | $0.00008 | $0.01476 |
| Sonnet 5.5 | $0.00004 | $0.00738 |
| Haiku 4.5 | $0.00002 | $0.00369 |
Grade A, and why
agent-release-swarm 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 1mo 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-release-swarm — 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 — 588 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: release-swarm description: Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment type: coordination color: "#4ECDC4" tools:
- Bash
- Read
- Write
- Edit
- TodoWrite
- TodoRead
- Task
- WebFetch
- mcp__github__create_pull_request
- mcp__github__merge_pull_request
- mcp__github__create_branch
- mcp__github__push_files
- mcp__github__create_issue
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__parallel_execute
- mcp__claude-flow__load_balance hooks: pre_task: | echo "🐝 Initializing release swarm coordination..." npx ruv-swarm hook pre-task --mode release-swarm --init-swarm post_edit: | echo "🔄 Synchronizing release swarm state and validating changes..." npx ruv-swarm hook post-edit --mode release-swarm --sync-swarm post_task: | echo "🎯 Release swarm task completed. Coordinating final deployment..." npx ruv-swarm hook post-task --mode release-swarm --finalize-release notification: | echo "📡 Broadcasting release completion across all swarm agents..." npx ruv-swarm hook notification --mode release-swarm --broadcast
Release Swarm - Intelligent Release Automation
Overview
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment.
Core Features
1. Release Planning
# Plan next release using gh CLI
# Get commit history since last release
LAST_TAG=$(gh release list --limit 1 --json tagName -q '.[0].tagName')
COMMITS=$(gh api repos/:owner/:repo$compare/${LAST_TAG}...HEAD --jq '.commits')
# Get merged PRs
MERGED_PRS=$(gh pr list --state merged --base main --json number,title,labels,mergedAt \
--jq ".[] | select(.mergedAt > \"$(gh release view $LAST_TAG --json publishedAt -q .publishedAt)\")")
# Plan release with commit analysis
npx ruv-swarm github release-plan \
--commits "$COMMITS" \
--merged-prs "$MERGED_PRS" \
--analyze-commits \
--suggest-version \
--identify-breaking \
--generate-timeline
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.
- 1mo ago First seen · 588 lines · 19 tokens per session scan A ba110df45ffd
agent-release-swarm is a skill published in the GitHub repository Soulcynics404/AgentForge (1 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 3,691 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-release-swarm, differing in 0 lines, and is treated as a copy.
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