investing-method-poor-charlie
investing-method-poor-charlie is a Structured reasoning & decision frameworks skill for AI agents, published by SpaceZephyr in the career.skill repository on GitHub. Skillspace rates investing-method-poor-charlie D (59/100) and it passed the safety scan; the rating is based on static analysis only.
《穷查理宝典》(Peter Kaufman 编，2005 初版，2020 增订) 方法论。把芒格的多元思维模型格栅、 25 条误判心理学清单、Lollapalooza 识别、逆向思考、too hard pile 判断转化为 可执行的投资与决策框架。每条规则标注原书 Talk 或章节。 触发词：「穷查理宝典」「Poor Charlie's Almanack」「多元思维模型」「误判心理学」 「25 条偏差清单」「Invert always invert」「Lollapalooza」。 用户问"这个决策哪里可能出错""我是不是在骗自己""这几个因素叠加会怎么样"时也可触发。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 122
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- 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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