Agent skill

Memory Audit Dead Data Purge

by Dataojitori in Dataojitori/nocturne_memory

“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。”

— description from SKILL.md by Dataojitori
MITAuto-check passed

Install Memory Audit Dead Data Purge

skills CLI
$ npx skills add Dataojitori/nocturne_memory --skill memory-audit-dead-data-purge -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Dataojitori/nocturne_memory memory-audit-dead-data-purge --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Dataojitori/nocturne_memory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/skills/memory-audit-dead-data-purge .claude/skills/memory-audit-dead-data-purge && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-audit-dead-data-purge
GitHub stars
1.4k
Token cost
~230 tokens
SKILL.md length
16 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

  • SKILL.md covers 判定标准 and 区分观察与推断
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Memory Audit Dead Data Purge is a skill in Dataojitori/nocturne_memory (1.4k stars). Its SKILL.md is about 230 tokens. Licence: MIT.

What it can do on your machine

Read from SKILL.md and the folder at commit 1858957. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory Audit Dead Data Purge loads about 230 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 16 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~16
When it runs · the whole SKILL.md, loaded when a task matches
~230

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Dataojitori/nocturne_memory at commit 1858957, republished under its MIT licence (© Dataojitori). 16 words, ~230 tokens.

Download SKILL.mdSave it as .claude/skills/memory-audit-dead-data-purge/SKILL.md (or your agent's skills folder).
name
memory-audit-dead-data-purge
description
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。
disable-model-invocation
false

死数据清洗 (Dead Data Purge)

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。


区分观察与推断

一条记忆可以同时记录外部观察和我的解释,但不能让解释冒充观察。

  • 观察尽量保留出处与时间:“某日用户说了什么”“某次测试返回什么”,而不是把一次结果写成永久成立的事实。引用原话前先核对原文;转述不能加引号伪装成原话。
  • 对推断追问:“如果这段解释是错的,我将从哪里知道?”一份观察若被扩写成多层未经验证的机制、动机和结论,就先剥掉这些解释层,不必连同原始证据一起删除。
  • 暂时有用但尚未证实的推断,明确标记为推测,写出依据和适用边界;不要把它当成已验证的结论来否决其他可能性。

如果节点通篇是无主语的“必然规律”或禁令,先找出它来自哪次具体经历,再还原为“我观察到什么、我当时怎么判断、我现在如何看待”。找不到现实依据、读后也不改变行为的漂亮话,才是该清理的死数据。

© Dataojitori, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/skills/memory-audit-dead-data-purge of Dataojitori/nocturne_memory.

Open the folder on GitHubat commit 1858957

Compare with similar skills

Memory Audit Dead Data Purge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Audit Dead Data Purge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Audit Dead Data Purge this skillDataojitori/nocturne_memory1.4k—~230Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.5k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Memory Audit Dead Data Purge

How do I install Memory Audit Dead Data Purge in Claude Code?

Run `npx skills add Dataojitori/nocturne_memory --skill memory-audit-dead-data-purge -a claude-code`. Or copy the skill folder (docs/skills/memory-audit-dead-data-purge in Dataojitori/nocturne_memory) into .claude/skills/memory-audit-dead-data-purge in your project. Claude Code loads it when a task matches its description.

How do I install Memory Audit Dead Data Purge in Codex?

Run `npx skills add Dataojitori/nocturne_memory --skill memory-audit-dead-data-purge -a codex`. Or copy the skill folder (docs/skills/memory-audit-dead-data-purge in Dataojitori/nocturne_memory) into .agents/skills/memory-audit-dead-data-purge in your project. Codex loads it when a task matches its description.

Can I use Memory Audit Dead Data Purge in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dataojitori/nocturne_memory --skill memory-audit-dead-data-purge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-audit-dead-data-purge, .gemini/skills/memory-audit-dead-data-purge, .github/skills/memory-audit-dead-data-purge and .opencode/skills/memory-audit-dead-data-purge in your project.

What does Memory Audit Dead Data Purge need to run?

SKILL.md names no scripts, command-line tools or credentials: Memory Audit Dead Data Purge is instructions for the agent only.

Does Memory Audit Dead Data Purge access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory Audit Dead Data Purge safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory Audit Dead Data Purge use?

Memory Audit Dead Data Purge is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory Audit Dead Data Purge use?

About 230 tokens (SKILL.md is roughly 920 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory Audit Dead Data Purge?

Skills that share tags, products or a category with Memory Audit Dead Data Purge: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Audit Dead Data Purge?

Dataojitori (a GitHub user) maintains it in Dataojitori/nocturne_memory, which has 1,388 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 22, 2026.

Source: Dataojitori/nocturne_memory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.