swarms — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by am-will · Claude Skill · ★ 231

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is swarms safe to install? View the security audit →

About swarms

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. But LLMs aren't humans. Each new agent session starts fresh. It has to: Re-read the same prompt as every previous iteration Discover the current project state through exploration Figure out what comes next by inspecting previous work Hope the last agent didn't cut corners There's no continuity. No one checking work. No context passed between agents. Each iteration burns tokens re-discovering what the orchestrator already knows. A Different Approach Swarms takes lessons from simple loops and more complex multi-agent systems, packaging them into something effective and beginner-friendly. The key insight: an orchestrator that plans the work should also coordinate the execution. It already has the complete picture: codebase research, documentation, clarified requirements, a reviewed plan.

Quick Facts

Stars231
Forks12
LanguageShell
CategoryClaude Skill
Quality Score67.2355703858991/100
Last Updated2026-04-18
Created2026-02-02
Platformsclaude-code, cli, codex
Est. Tokens~6k

Compatible Skills

These tools work well together with swarms for enhanced workflows:

  • AssemblyZero — semantic(0.45)+complementary+similar_pop+shared_platform (51%)
  • codex-mcp-server — semantic(0.25)+complementary+similar_pop+shared_platform (49%)
  • conductor-orchestrator-superpowers — semantic(0.37)+complementary+similar_pop+shared_platform (48%)
  • skills — semantic(0.35)+complementary+similar_pop+shared_platform (47%)

swarms alternative? Top 5 similar tools

Looking for a swarms alternative? If you're comparing swarms with other claude skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • claude-codex-settings by fcakyon · ⭐ 1.2k

    Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM

  • digital-marketing-pro by indranilbanerjee · ⭐ 795

    An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analyti

  • life-sciences by anthropics · ⭐ 566

    Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho

  • claude-ai-mcp by anthropics · ⭐ 432

    Report issues related to MCP integration with Claude here.

  • skyll by assafelovic · ⭐ 240

    A tool for autonomous agents like OpenClaw to discover and learn skills autonomously

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Frequently Asked Questions

What is swarms?

swarms is Multi-agent orchestration skills for Claude Code and Codex. It is categorized as a Claude Skill with 231 GitHub stars.

What programming language is swarms written in?

swarms is primarily written in Shell.

How do I install or use swarms?

You can find installation instructions and usage details in the swarms GitHub repository at github.com/am-will/swarms. The project has 231 stars and 12 forks, indicating an active community.

What are the best alternatives to swarms?

The top alternatives to swarms on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

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