by jeinlee1991 · Agent Tool · ★ 6.5k
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. 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 | 6,484 |
| Forks | 262 |
| Category | Agent Tool |
| Quality Score | 51/100 |
| Open Issues | 19 |
| Last Updated | 2026-10-21 |
| Created | 2023-06-04 |
| Platforms | claude-code, gemini |
| Est. Tokens | ~28k |
非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新） ReLE （Really Reliable Live Evaluation for LLM），原名CLiB 目前已囊括384个大模型，覆盖chatgpt、gpt-5.5、谷歌gemini-3.1-pro、Claude-4.8、文心ERNIE-X1.1、ERNIE-5.1、qwen3.7-max、qwen3.7-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.7-flash、kimi-k2.6、ernie4.5、MiniMax-M3、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。...
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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: