by fidecastro · AI Tool · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install jevify # or: pipx install jevify
git clone https://github.com/fidecastro/jevify && cd jevify
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 | 55 |
| Forks | 7 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 54/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~17k |
jevify Make any model you already have answer typed questions in one pass, the way Jev does, and measure how well it does. You bring a model behind an OpenAI-compatible endpoint (vLLM, llama.cpp, anything with logprobs) or a small model that runs in-process.
These tools work well together with jevify for enhanced workflows:
Looking for a jevify alternative? If you're comparing jevify with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
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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: