by nokia-applied-research · LLM Plugin · ★ 1.6k
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Featured in: TypeSafe Jev
pip install "anyjev[hf]" # library + transformers backend
pip install anyjev # library only (numpy); bring your own backendTaken 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 | 1,593 |
| Forks | 180 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-21 |
| Created | 2026-09-21 |
| Platforms | python |
| Est. Tokens | ~16k |
English · 简体中文 · Levels contract · Results · Roadmap Jiamu Zhang1 Tianze Yang1 Yucheng Shi2 Liang Wu1 1 Nokia, Sunnyvale, CA 2 Tencent Hunyuan Qwen3-8B, a real BANKING77 item, real outputs. Left: raw next-token readout — reverse the option
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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: