persona-learning

persona-learning is a Memory stores & recall skill for AI agents, published by L-LesterYu in the OpenClaw-hot-skills-zh repository on GitHub. Skillspace rates persona-learning D (57/100) and it passed the safety scan; the rating is based on static analysis only.

在 AI 人格操作系统中捕获、审查和晋升学习内容、错误和功能请求。将结构化条目记录到 ~/workspace/.learnings/(LEARNINGS.md、ERRORS.md、FEATURE_REQUESTS.md),每周扫描模式,将重复的学习内容(3 次以上出现)晋升到 MEMORY.md,并实现 4 个成长反馈循环:好奇心(知识缺口 → 提问 → 模式跟踪)、模式识别(重复请求 → 自动化提案)、能力扩展(限制 → 研究 → 工具化)和成果跟踪(决策 → 跟进 → 教训)。通过结构化学习捕获、错误分析、错误跟踪、模式检测和成长导向的行为循环支持持续改进。触发关键词:learn、mistake、error、review、promote、growth、learning、capture、pattern、improvement、feature request、学习、错误、复盘、提升、记录。

Grade
D
Quality
57 / 100
Safety
Passed
GitHub stars
49

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
80 / 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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