by itshen · Agent Tool · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
带 AI 精读大型开源仓库的方法论：四阶段流程、可复用模板、28 条踩坑清单，核心是让每个技术论断都可回溯到源码具体行
| Stars | 107 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.3393551577193/100 |
| Last Updated | 2026-08-24 |
| Created | 2026-08-23 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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source-reading-methodology is 带 AI 精读大型开源仓库的方法论：四阶段流程、可复用模板、28 条踩坑清单，核心是让每个技术论断都可回溯到源码具体行. It is categorized as a Agent Tool with 107 GitHub stars.
source-reading-methodology is primarily written in Python. It covers topics such as agent-skills, ai-agent, ai-coding.
You can find installation instructions and usage details in the source-reading-methodology GitHub repository at github.com/itshen/source-reading-methodology. The project has 107 stars and 9 forks, indicating an active community.
source-reading-methodology is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to source-reading-methodology on Agent Skills Hub include my-claude-devteam, ring, jdocmunch-mcp. 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: