by awlevin · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: TypeSafe Jev
git clone https://github.com/awlevin/typesafe-computer-use
Taken 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 | 1,284 |
| Forks | 123 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 41 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-16 |
| Platforms | cli, python |
| Est. Tokens | ~17k |
typesafe-computer-use drives a Mac toward a goal you type in plain English, for about a fiftieth of a cent per step. It never sends a screenshot to a big model. Instead it reads the screen deterministically, asks a small classifier which action comes next, and only calls a writing model when a text field genuinely needs free text.
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Tutorials, Guides and Agent Skills Directories
This is the official website for TuriX Computer-use-Agent
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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: