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 OpenRaiser · Claude Skill · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is NanoResearch safe to install? View the security audit →
NanoResearch 端到端自主 AI 科研引擎 — 从研究想法到完整论文，全程自动化 <img src="https://img.shields.io/badge/Pipeline-9StageDeep-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="Pipelin
| Stars | 1,357 |
| Forks | 96 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 57.2165105990848/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-25 |
| Created | 2026-03-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~19k |
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NanoResearch is 🦞+🔬 NanoResearch: The Autonomous AI Research Assistant. It is categorized as a Claude Skill with 1.4k GitHub stars.
NanoResearch is primarily written in Python. It covers topics such as agent-skills, agents, ai.
You can find installation instructions and usage details in the NanoResearch GitHub repository at github.com/OpenRaiser/NanoResearch. The project has 1.4k stars and 96 forks, indicating an active community.
NanoResearch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to NanoResearch on Agent Skills Hub include autocontext, sre, DeepMCPAgent. 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: