by Sider-ai · Codex Skill · ★ 69
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git clone https://github.com/Sider-ai/wandesk.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 | 69 |
| Forks | 13 |
| Language | TypeScript |
| Category | Codex Skill |
| License | ISC |
| Quality Score | 62/100 |
| Last Updated | 2026-10-13 |
| Created | 2026-05-15 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
Wandesk Give intelligence shape. Let AI sculpt your desktop. An open-source AI desktop where you build the apps you need just by describing them. Plug in Claude Code, Codex, DeepSeek, OpenAI, Kimi, Qwen — anything OpenAI-compatible. Apps share context. AI remembers you. All local. No signup.
These tools work well together with wandesk for enhanced workflows:
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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: