by aipoch · Agent Tool · ★ 1.9k
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 | 1,889 |
| Forks | 175 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-17 |
| Created | 2026-02-04 |
| Platforms | python |
| Est. Tokens | ~15k |
AIPOCH Medical Research Skills Add Skills. Run Your Research. 450+ medical research skills · Evidence Insights · Protocol Design · Data Analysis · Academic Writing 🤔 What it is? AIPOCH is a curated library of 450+ Medical Research Agent Skills, built to work with OpenClaw and other AI agent platforms, including OpenCode and Claude.
Looking for a medical-research-skills alternative? If you're comparing medical-research-skills with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
BioMCP: Biomedical Model Context Protocol
197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, sin
Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具
Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay
One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Explore other popular agent tool tools:
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: