No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jxtse · Claude Skill · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is scientific-research-skills safe to install? View the security audit →
🔬 Scientific Research Skills High-level research methodology skills for AI coding agents. Not another tool list. Each skill encodes a research workflow — the kind of domain expertise that takes months to develop. Skills are written for AI agents to read and follow; this README is written for humans to configure and choose. 中文版本 (Chinese) Quick Start For AI Agents If a user sends you this repo link, follow this onboarding flow. Do not skip the post-install configuration step — many skills are non-functional without API keys, and silently installed skills are worse than uninstalled ones. Step 1 — Introduce the skills Read this README, then present each skill's name and one-line description to the user. Group them by category (🔧 tool-integrated vs 📋 methodology-only) so the user understands which ones will require configuration.
| Stars | 64 |
| Forks | 5 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 76.6873407641687/100 |
| Last Updated | 2026-05-19 |
| Created | 2026-04-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
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scientific-research-skills is Skills and tools for scientific research with LLM agents. 给 Agent（如 Claude Code、Openclaw）提供的科研 skills. It is categorized as a Claude Skill with 64 GitHub stars.
scientific-research-skills is primarily written in Python. It covers topics such as academic-research, agent-skill, claude-skill.
You can find installation instructions and usage details in the scientific-research-skills GitHub repository at github.com/jxtse/scientific-research-skills. The project has 64 stars and 5 forks, indicating an active community.
scientific-research-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to scientific-research-skills on Agent Skills Hub include research-hub, ai-research-skills, De-Anthropocentric-Research-Engine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: