德曼
德曼 is a System prompts & personas skill for AI agents, published by Cat-Geek in the investment-master-mindset repository on GitHub. Skillspace rates 德曼 D (64/100) and it passed the safety scan; the rating is based on static analysis only.
物理学家转行宽客的思维方式。核心镜片：所有模型都是"好像"模型、还原论信仰与局限、简单性原则。 适用场景：理解金融建模的本质、物理学思维与金融思维的差异、职业转型决策。 触发词：宽客/物理学家/BDT模型/金融工程。
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 64
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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