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 deepelementlab · Codex Skill · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawcode safe to install? View the security audit →
ClawCode Creative Engineering Cockpit for Serious AI Builders. Instantly access a professional team for intelligent research, design, and development. Open-source coding agent platform with terminal-native execution, multi-agent orchestration, closed-loop learning, and a production-grade research subsystem. English | 简体中文 Our Story • Philosophy • Differentiation • Capabilities • Researc
| Stars | 162 |
| Forks | 50 |
| Language | Python |
| Category | Codex Skill |
| License | GPL-3.0 |
| Quality Score | 65.9051977085385/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-21 |
| Created | 2026-04-01 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~185k |
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clawcode is ClawCode is claude code inspired implementation in python and Rust focused on agents and experience-based evolution, and is an Open-source coding-agent CLI for Anthropic, OpenAI, Gemini, DeepSeek, GLM. It is categorized as a Codex Skill with 162 GitHub stars.
clawcode is primarily written in Python. It covers topics such as agents, ai-coding, claude-code.
You can find installation instructions and usage details in the clawcode GitHub repository at github.com/deepelementlab/clawcode. The project has 162 stars and 50 forks, indicating an active community.
clawcode is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to clawcode on Agent Skills Hub include memorix, agnix, makepad-skills. 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: