Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by agentforce314 · Codex Skill · ★ 903
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawcodex safe to install? View the security audit →
English Português ClawCodex A production-oriented Python rebuild of Claude Code — real architecture, reliable CLI agent Ported from the TypeScript reference implementation and extended with a Python-native runtime 🔥 Active Development • New Features Weekly 🔥 🎯 Why ClawCodex? ClawCodex is a production-oriented Python rebuild of Claude Code, ported from the real TypeScript architecture and shipped as a working CLI agent, not just a source dump. Real Agent Runtime — tool-calling loop, streaming REPL, session history, and multi-turn execution High-Fidelity
| Stars | 903 |
| Forks | 157 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.6279080004747/100 |
| Open Issues | 39 |
| Last Updated | 2026-09-28 |
| Created | 2026-04-20 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~18k |
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clawcodex is Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.. It is categorized as a Codex Skill with 903 GitHub stars.
clawcodex is primarily written in TypeScript. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the clawcodex GitHub repository at github.com/agentforce314/clawcodex. The project has 903 stars and 157 forks, indicating an active community.
clawcodex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawcodex on Agent Skills Hub include cc-skills-golang, Overture, golembot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: