by Zleap-AI · Agent Tool · ★ 2.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Zleap-AI/SAG.git
npm install --global @zleap-ai/sag-cliTaken 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 | 2,568 |
| Forks | 174 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-11 |
| Created | 2025-11-07 |
| Platforms | python |
| Est. Tokens | ~20k |
SAG English · 简体中文 From now on, this is the only knowledge base app you need. Built on the state-of-the-art SAG architecture, it turns scattered documents and data into knowledge that is searchable, connected, and traceable. https://github.com/user-attachments/assets/ac805e3c-ab52-4857-bef6-2865f3831b2f Contents Community · Project · Technology · User Guide · Developer Guide <
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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: