No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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🔒 Is jev-experiments safe to install? View the security audit →
jev-experiments TypeSafe / Jev latency-focused demos built by Devin. Each app lives in its own top-level directory with its own README, TESTING.md and screenshots.
| Stars | 324 |
| Forks | 24 |
| Language | TypeScript |
| Category | AI Tool |
| Quality Score | 23.1800356076036/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-17 |
| Platforms | node |
| Est. Tokens | ~14k |
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jev-experiments is an open-source ai tool by dabit3 with 324 GitHub stars.
jev-experiments is primarily written in TypeScript.
You can find installation instructions and usage details in the jev-experiments GitHub repository at github.com/dabit3/jev-experiments. The project has 324 stars and 24 forks, indicating an active community.
The top alternatives to jev-experiments on Agent Skills Hub include shaping-skills, pivotnacci, MedgeClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: