by ConardLi · Agent Tool · ★ 14.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is easy-dataset safe to install? View the security audit →
A powerful tool for creating fine-tuning datasets for Large Language Models 简体中文 Türkçe Features • Quick Start • Documentation • Contributing • License If you like this project, please give it a Star⭐️, or buy the author a coffee = Donate
git clone https://github.com/ConardLi/easy-dataset.git
Taken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 14,934 |
| Forks | 1,533 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 71.1665668595719/100 |
| Open Issues | 128 |
| Last Updated | 2026-05-01 |
| Created | 2025-03-04 |
| Platforms | node |
| Est. Tokens | ~1241k |
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easy-dataset is A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval. It is categorized as a Agent Tool with 14.9k GitHub stars.
easy-dataset is primarily written in JavaScript. It covers topics such as dataset, fine-tuning, javascript.
The README on GitHub (github.com/ConardLi/easy-dataset) gives: git clone https://github.com/ConardLi/easy-dataset.git. Usage details are in the same README.
The top alternatives to easy-dataset on Agent Skills Hub include voltagent, headroom, composio. 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: