Swarms is a Python framework for coordinating multiple autonomous language-model agents into workflows such as sequential, concurrent, or hierarchical systems. It is used to build multi-step applications in which agents combine language models, tools, and memory. The catalogue entries provide agent-oriented skills, instructions, and an agent for working with Swarms.
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 kyegomez/swarms --skill commit-messagesgit clone --depth 1 https://github.com/kyegomez/swarmsWrote 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/kyegomez/swarms/commit-messages)<a href="https://agentmods.dev/skills/kyegomez/swarms/commit-messages"><img src="https://agentmods.dev/badge/skills/kyegomez/swarms/commit-messages/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/kyegomez/swarms/commit-messages"><img src="https://agentmods.dev/badge/skills/kyegomez/swarms/commit-messages.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 | $0.00023 | $0.00145 |
| Opus 5.5 | $0.00009 | $0.00058 |
| Sonnet 5.5 | $0.00005 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
commit-messages 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 14d 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.
What it actually says
Commit Messages
Use [TYPE][Function/FileName][Short Description]:
- TYPE in capitals:
FEAT,FIX,DOCS,REFACTOR,TESTorCHORE. - Function/FileName: the function, class, module or file the change is about.
- Short Description: one imperative line.
Examples:
[FIX][Agent._run][Raise AgentLLMError after retry exhaustion]
[FEAT][SkillsManager][Load skills from several directories at construction]
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.
- 14d ago First seen · 20 lines · 23 tokens per session scan A 624308228cad
commit-messages is a skill published in the GitHub repository kyegomez/swarms (7,262 stars, last pushed today), licensed Apache-2.0. It adds 23 tokens to every session and 145 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.
Other skills, from other repositories
git-helper
Generate git commit messages and help with git workflows.
chinese-commit-conventions
A Chinese-language reference for writing commit messages and changelogs, which record code changes and releases.
lenserfighter
Autonomous open-source contributor that reviews PRs, triages and opens issues, and drafts minimal fix PRs for the LenserFight monorepo — without merging.
issue-solver
Autonomous engineering agent that reads GitHub issues, traces root causes, designs GRASP-compliant fixes, runs tests, opens PRs, and closes issues only after merge.
github
GitHub-centric templates — pull requests, issue triage, repo automation.
pr-review
From diff to reviewer-ready summary — analyze, review, surface risks, draft PR description.