metacognition-control

metacognition-control is a Personal productivity & habits skill for AI agents, published by kangarooking in the cognitive-dividend-skill repository on GitHub. Skillspace rates metacognition-control D (59/100) and it passed the safety scan; the rating is based on static analysis only.

通过元认知三阶段控制大脑信息处理流程。当你"知道该做什么但做不到"、情绪被绑架后无法理性思考、或需要系统性提高大脑信息处理质量时使用。三阶段：控制输入（注意力把关信息入口）→控制大脑（对信息丢弃/储存/处理）→控制输出（将思考结果高质量执行）。不适用于需要快速本能反应的紧急场景。关键触发信号："知道但做不到""我又情绪化了""脑子很乱""学了但用不出来"。

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
25

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.

View source on GitHubkangarooking/cognitive-dividend-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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