mirror-world
mirror-world is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the cognitive-dividend-skill repository on GitHub. Skillspace rates mirror-world D (59/100) and it passed the safety scan; the rating is based on static analysis only.
识别当前事件落在镜像世界的哪个区域（掌控域/盲域/概率域/风险域），采用对应的生存策略，避免用左侧世界的确定性法则去面对右侧世界的不确定性问题。适用于面对投资决策、创业选择、职业转型的策略制定，以及"为什么按计划执行却失败了"的复盘分析。不适用于纯粹的技能提升和刻意练习场景（那些天然属于掌控域）。关键触发信号："为什么努力了还是不行"、"这件事到底靠实力还是靠运气"、"我该怎么应对不确定性"、"怎么提高成功率"。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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