想研究 Agent 技能生态的，这个数据集直接给你 380 万份真实 SKILL.md，比你自己爬 GitHub 省事多了。
GitSkills 数据集收录了 2026 年 7 月从 282,200 个公共仓库中采集的 3,797,117 个 SKILL.md 文件。这些文件按内容哈希去重后得到 1,877,981 个不同版本，每个版本附带完整文本、front matter、文件夹内容及仓库元数据。数据集以单个 SQLite 文件发布，支持研究 Agent 技能的采用、复用、结构、维护与安全问题。该研究指出技能文件缺乏中央注册表，主要通过复制文件夹传播。
GitSkills: A Dataset of Agent Skills on GitHub
An agent skill is a folder containing a SKILL.md file with instructions for a language-model agent, optionally accompanied by scripts and reference files. The agent loads the skill when it judges that a task matches the skill description. Anthropic introduced the format in October 2025 as an open specification. Nine months later, we find that skill files in the millions sit in public GitHub repositories. Skills are unlike the artifacts the SE research community usually mines: they are written mainly in natural language, a model selects them probabilistically at run time, and no compiler or type checker verifies the selection. They also have no central registry or package manager, so they spread by copying folders between repositories. How developers write, reuse, and maintain skills is therefore an empirical question, and no existing dataset records this population. We present GitSkills, a dataset of 3,797,117 SKILL.md files collected from 282,200 public repositories in July 2026. The dataset retains every file occurrence with its repository, path, and content hash. It groups identical files into 1,877,981 distinct contents and enriches one representative per group with the full text, parsed front matter, folder contents, repository metadata, and, for a subset, the commit history of the file. A single self- contained SQLite file supports research on the adoption, reuse, structure, authorship, maintenance, and security of agent skills.