incentive-analysis

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

当用户需要理解"为什么人们会这样做"（尤其是看似不合理的行为）、设计管理制度或激励机制、评估专业顾问建议的可信度、试图说服他人改变行为时激活。典型触发信号：用户困惑于"为什么制度改了但行为没变"；用户的顾问/下属/合作方的建议恰好对他们自己特别有利；用户需要设计一个让他人按期望行事的制度。不适用于纯技术方案设计或不需要考虑人的行为的场景。

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
26

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/poor-charlies-almanack-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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