by standardagents · AI Tool · ★ 233
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 233 |
| Forks | 44 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 52/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-09-17 |
| Platforms | node |
| Est. Tokens | ~13k |
JevPilot https://github.com/user-attachments/assets/4baef58e-54ef-4d17-9982-353a0b6e6f45 A demo project showing Tesla Autopilot-like behavior using Jev by TypeSafe AI. Sign in with Standard Agents for $0.25 of free Jev play credit. Joining the early-access list is optional. The hosted endpoint requires a valid login session.
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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: