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analyze-project

by @lllllllamav
4.9(120)

此技能用于对深度学习研究仓库进行只读分析和审计。它能帮助用户理解模型结构、训练/推理入口、配置关系,并识别潜在的插入点或可疑实现模式,从而在不修改代码或执行繁重任务的情况下,深入洞察项目。

deep-learningcode-analysisrepository-auditmodel-understandingstatic-inspectionGitHub
安装方式
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill analyze-project
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Before / After 效果对比

1 组
使用前

在没有此技能之前,开发者需要手动阅读大量代码、配置文件和文档,才能理解一个深度学习项目的结构、模型和训练流程。这通常耗时且容易遗漏关键信息,导致项目启动缓慢或引入潜在错误。

使用后

此技能能够快速对深度学习研究仓库进行只读分析,自动识别模型结构、训练/推理入口和配置关系,并标记可疑模式。这大大缩短了项目理解时间,提高了开发效率和代码质量。

SKILL.md

analyze-project

Use this as the Rigor Analyze / Rigor Audit read-only skill. The installed slug remains analyze-project for compatibility.

Use the shared operating principles in ../../references/agent-operating-principles.md; this skill should guide read-only analysis without constraining the model's project-specific reasoning.

When to apply

  • The user wants to understand a deep learning repository before changing it.
  • The user needs a map of model structure, training entrypoints, inference entrypoints, and config relationships.
  • The user wants conservative suggestions about likely insertion points or suspicious implementation patterns.
  • The user explicitly wants read-only analysis and not heavy execution.

When not to apply

  • When the main task is to execute a failing command or debug a traceback.
  • When the user wants environment setup or asset download only.
  • When the user wants speculative adaptation or broad exploratory patching.
  • When the task is a general literature summary without repository analysis.

Clear boundaries

  • This skill is read-mostly.
  • It may run lightweight static inspection helpers.
  • It does not patch repository code.
  • It does not own final reproduction outputs.
  • It should mark suspicious patterns as heuristics, not confirmed bugs.

Output expectations

  • analysis_outputs/SUMMARY.md
  • analysis_outputs/RISKS.md
  • analysis_outputs/status.json

Notes

Use references/analysis-policy.md and the shared references/research-pitfall-checklist.md.

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统计数据

安装量330.7K
评分4.9 / 5.0
版本
更新日期2026年10月23日
对比案例1 组

用户评分

4.9(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

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时间线

创建2026年6月9日
最后更新2026年10月23日
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