clawcode: Claude code inspired implementation in python and Rust focused on agents and experience-based evolution

by deepelementlab · Codex Skill · ★ 125

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

Security audit verdict: SAFE · quality 66/100

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.

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.

agentsai-codingclaude-codeclawcodexopencodepythonrustskills

Quick Facts

Stars125
Forks46
LanguagePython
CategoryCodex Skill
LicenseGPL-3.0
Quality Score66/100
Open Issues1
Last Updated2026-05-21
Created2026-04-01
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~185k

About clawcode

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

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How this security grade is produced

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:

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