learn-from-history

learn-from-history is a Session review & learning skill for AI agents, published by KonghaYao in the peri repository on GitHub. Skillspace rates learn-from-history D (68/100) and it passed the safety scan; the rating is based on static analysis only.

从过去 N 天的对话历史中提炼经验教训——分析每次 agent 交互中的异常、失败、成功模式， 提出 CLAUDE.md/AGENTS.md 更新建议、可凝聚为 skill 的新方向、以及现有 skill 的改进点。 当用户说"总结历史对话"、"learn from history"、"回顾最近的对话"、"从历史中学习"、 "分析最近的 agent 表现"、"对话历史分析"、"最近有什么可以改进的"、 "提炼一下这几天的经验"、"历史经验总结"时立即触发。 也适用于用户想知道"最近 agent 出了哪些问题"、"有什么可以优化的"、 "哪些操作可以自动化"等经验提炼场景。 只要用户想从对话历史中系统性地提取可行动的改进方向，就应使用此 skill。

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
101

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 GitHubKonghaYao/peri

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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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