by ZJU-REAL · Codex Skill · ★ 1.3k
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git clone https://github.com/ZJU-REAL/ClawGUI.gitTaken 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 | 1,348 |
| Forks | 55 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 60/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-07 |
| Platforms | python |
| Est. Tokens | ~4769k |
ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents English | 中文 A full-stack framework for GUI agents, covering online RL training, standardized evaluation, and deployment. <video src="https://github.com/user-attachments/assets/38471771-c614-4520-a4a1-0b985546e023" control
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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: