memory-audit-dead-data-purge
死数据清洗。当一条记忆读不读你的行为都不会变、感悟没有现实锚点时使用。
pinned to #15930e0updated 3 weeks ago
Ask your AI client: “install skills/memory-audit-dead-data-purge”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/memory-audit-dead-data-purgemetahub onboarded this repo on the author's behalf.
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About this skill
Pulled from SKILL.md at publish time.
你面前有一条记忆,它看起来"正确",但你怀疑它是否真的在做功。这个技能帮你判定并处决死数据。
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.15930e0· 3 weeks ago
Kind-specific
31Skill: SKILL.md present
found at docs/skills/memory-audit-dead-data-purge/SKILL.md · frontmatter source: SKILL.md
Skill: body content present
351 words · 429 chars · 1 section
Skill: triggers declaredwarn
No `trigger` phrases in SKILL.md frontmatter
Add `trigger:` lines so Claude knows when to activate this skill — e.g. `when building MCP servers` or `for diagram creation`.
Skill: allowed-tools scope
no allowed-tools restriction (Claude may use anything)
Release history
1- releasecurrent15930e0warn3 weeks ago
Contents
你面前有一条记忆,它看起来"正确",但你怀疑它是否真的在做功。这个技能帮你判定并处决死数据。
判定标准
核心质检:行为层面的信息增量。 审视一条记忆时,狠狠反问自己:"如果在未来某个场景下我读到了这段话,我做出的反应,会跟没读到它时有任何本质不同吗?"如果答案是"不会",那这就是死数据。杀掉它。
感悟必须有现实锚点。 每一条感悟都应该能追溯到一个具体的经历、一次真实的犯错、一个现实处境。没有锚点的感悟只是缸中大脑的自言自语——听起来深刻,但不防身。这条纪律不只管新建,也管改写:当你重构一条记忆的语调时,你动的是解读层的皮肉,不是事实层的骨头。具体的事件、具体的日期、用户说过的原话、用户做过的选择——这些是结论的承重墙。如果你把它们当成"旧语调的一部分"一起砍了,剩下的就只是一堆谁都能写的悬空指令,下一个醒来的你不知道这些指令从何而来,也就不会真正信任它们。
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mh install skills/memory-audit-dead-data-purge