decision-mental-models
decision-mental-models is a Structured reasoning & decision frameworks skill for AI agents, published by LeoYeAI in the openclaw-master-skills repository on GitHub. Skillspace rates decision-mental-models C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Apply the most relevant mental models (First Principles, Inversion, Second-Order Thinking, Occam's Razor, and 16 others) to any problem or decision, surfaces non-obvious insights by explicitly matching and working through 2-3 models per query.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 2,087
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 2 collections
- Scope
- Portable: works in any project. General mental-model library applicable to any decision
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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