by xuzhougeng · MCP Server · ★ 998
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 | 998 |
| Forks | 103 |
| Language | Rust |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 68/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-02 |
| Created | 2026-07-01 |
| Platforms | mcp, rust |
| Est. Tokens | ~27k |
Wisp Science — Local-first AI research workbench English | 简体中文 Wisp Science is an open-source, local-first desktop AI research assistant and scientific computing workbench. It connects to OpenAI-compatible and Anthropic models, runs persistent Python and R environments on local, SSH, WSL, and GPU compute, loads reusable Agent Skills (), and reaches 80 bioinformatics and computational biology...
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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: