SkillClaw — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 AMAP-ML · Codex Skill · ★ 2.5k

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

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About SkillClaw

✨ SkillClaw: Let Skills Evolve Collectively with Agentic Evolver ✨ AI agent skills that evolve from every real interaction — just talk.Across sessions, agents, devices, and users. Experience compounds. Skills keep growing. [![Paper](https://img.shields.io/badge/Paper-P

agentagentic-aiai-agentcollective-intelligencecontinual-learninghermesllmllmsopenclawself-evolving

Quick Facts

Stars2,452
Forks243
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score63.5140940885606/100
Open Issues35
Last Updated2026-08-17
Created2026-04-10
Platformspython
Est. Tokens~18k

Compatible Skills

These tools work well together with SkillClaw for enhanced workflows:

  • AutoSkill — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • bernstein — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • GenericAgent — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • PPTAgent — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • awesome-lifelong-llm-agent — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

SkillClaw alternative? Top 6 similar tools

Looking for a SkillClaw alternative? If you're comparing SkillClaw with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • MemOS by MemTensor · ⭐ 11.5k

    Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill r

  • MetaClaw by aiming-lab · ⭐ 3.5k

    🦞 Just talk to your agent — it learns and EVOLVES 🧬.

  • cursor-talk-to-figma-mcp by grab · ⭐ 7.0k

    TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c

  • AI-Infra-Guard by Tencent · ⭐ 6.4k

    A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Sca

  • PPTAgent by icip-cas · ⭐ 5.0k

    An Agentic Framework for Reflective PowerPoint Generation

  • awesome-openclaw-usecases-zh by AlexAnys · ⭐ 4.4k

    🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好

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Frequently Asked Questions

What is SkillClaw?

SkillClaw is Let Skills Evolve Collectively with Agentic Evolver. It is categorized as a Codex Skill with 2.5k GitHub stars.

What programming language is SkillClaw written in?

SkillClaw is primarily written in Python. It covers topics such as agent, agentic-ai, ai-agent.

How do I install or use SkillClaw?

You can find installation instructions and usage details in the SkillClaw GitHub repository at github.com/AMAP-ML/SkillClaw. The project has 2.5k stars and 243 forks, indicating an active community.

What license does SkillClaw use?

SkillClaw is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to SkillClaw?

The top alternatives to SkillClaw on Agent Skills Hub include MemOS, MetaClaw, cursor-talk-to-figma-mcp. 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:

View on GitHub → Browse Codex Skill tools