by HICAI-ZJU · AI Tool · ★ 428
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git clone https://github.com/HICAI-ZJU/SciToolAgent.git
Taken from the project's README on GitHub.
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.
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 | 428 |
| Forks | 61 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 8 |
| Last Updated | 2025-08-26 |
| Created | 2024-05-07 |
| Platforms | python |
| Est. Tokens | ~1271k |
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration 📌 Contents ⌚️ Overview 📦 Project Framework ⚡ Getting Started 🔧️ Installation 🚀 Quick Start 📊 Data Preparation 🛠️ Custom Tools 📜 SciToolEval 📝️ Cite 🆕 News [2024-12]: The SciToolAgent project is now available on GitHub. [2025-08]: Our research published in Nature Computational Science.
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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: