by voidborne-d · Claude Skill · ★ 81
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大师.skill — 输入行业，自动调研 6 轨（大佬/工具/工作流/正典/信源/术语）→ 提炼为可运行的行业 Master OS skill。所有 Claude Code / OpenClaw / Codex / Hermes agent 都能装载。Distill any sub-niche industry into a runnable Master OS skill for AI agents.
| Stars | 81 |
| Forks | 7 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 58.5601173248144/100 |
| Last Updated | 2026-05-17 |
| Created | 2026-05-01 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~210k |
Looking for a master-skill alternative? If you're comparing master-skill with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
大师.skill — 输入行业，自动调研 6 轨[行业大佬 / 工具地图 / 工作流 / 知识正典 / 信息源 / 术语标准] → 提炼为可运行的行业 Master OS skill；装到任意 Claude Code /
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master-skill is 大师.skill — 输入行业，自动调研 6 轨（大佬/工具/工作流/正典/信源/术语）→ 提炼为可运行的行业 Master OS skill。所有 Claude Code / OpenClaw / Codex / Hermes agent 都能装载。Distill any sub-niche industry into a runnable Master OS skill for AI agen. It is categorized as a Claude Skill with 81 GitHub stars.
master-skill is primarily written in Shell. It covers topics such as agent-framework, agent-infrastructure, ai-agent.
You can find installation instructions and usage details in the master-skill GitHub repository at github.com/voidborne-d/master-skill. The project has 81 stars and 7 forks, indicating an active community.
master-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to master-skill on Agent Skills Hub include master-skill, Commonly-used-high-value-skills, hotplex. 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: