observation-inference

observation-inference is a Structured reasoning & decision frameworks skill for AI agents, published by kangarooking in the huangdi-neijing-skill repository on GitHub. Skillspace rates observation-inference D (59/100) and it passed the safety scan; the rating is based on static analysis only.

用户需要从可观察的外部信号推断隐藏的内部状态时激活;当需要评估某人或某系统的整体状态但无法直接检测内部时; 当多个外部信号互相矛盾需要综合判断时。 典型触发信号: 用户说"怎么看出来这个人状态怎么样""从表面现象怎么判断内在情况""几个信号互相矛盾该怎么判断"。 不适用于: 可以直接测量/检测的场景(有体检数据、有监控面板、有可量化的指标), 或只有一个信号源且无法交叉验证的情况。

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
20

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.

View source on GitHubkangarooking/huangdi-neijing-skill

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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