by am-will · Claude Skill · ★ 231
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npx skills add am-will/swarmsTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 231 |
| Forks | 12 |
| Language | Shell |
| Category | Claude Skill |
| Quality Score | 67/100 |
| Last Updated | 2026-04-18 |
| Created | 2026-02-02 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~6k |
Swarms Multi-agent orchestration for Claude Code and Codex. Plan with explicit dependencies, execute in parallel waves, with an orchestrator that maintains context and verifies work. The Problem with Simple Loops A popular pattern for AI coding agents is the bash loop: spawn an agent, have it find the next task, execute it, repeat. It mirrors how humans work, logical and straightforward.
These tools work well together with swarms for enhanced workflows:
Looking for a swarms alternative? If you're comparing swarms with other claude skill tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
An open-source AI based digital marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CR
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho
Report issues related to MCP integration with Claude here.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: