by HKUDS · Codex Skill · ★ 8.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/HKUDS/ClawWork.git
Taken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 8,569 |
| Forks | 1,087 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 39 |
| Last Updated | 2026-03-03 |
| Created | 2026-02-15 |
| Platforms | python |
| Est. Tokens | ~18k |
ClawWork: OpenClaw as Your AI Coworker 💰 $19K in 8 Hours — AI Coworker for 44+ Professions 🔴 Watch AI Coworkers Earn Money from Real-Life Tasks ATIC
These tools work well together with ClawWork for enhanced workflows:
Looking for a ClawWork alternative? If you're comparing ClawWork with other codex skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex
Bridge Claude Code / Codex to IM platforms — chat with AI coding agents from Telegram, Discord, or Feishu/Lark
Skills for pi coding agent (compatible with Claude Code and Codex CLI)
A Claude or Codex skill for deliberate skill development during AI-assisted coding
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart sear
Explore other popular codex skill tools:
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: