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AI EngineeringPython

Memory Audit

by Dataojitori

Memory Audit is an AI Engineering skill for Claude Code, published by Dataojitori in nocturne_memory.

1.3K stars166 forkson Dataojitori/nocturne_memoryAdded 2026/08/20Repository updated 2026/08/09
agentic-aiai-identityai-memoryartificial-intelligenceclaudeclaude-codedigital-soulgemini-clillmlong-term-memorymcpmcp-serverpostgresqlpythonragsecond-brainsqlite
Install in seconds
Install Memory Audit
Copy Memory Audit into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Dataojitori/nocturne_memory/tree/main/docs/skills/memory-audit ~/.claude/skills/memory-audit

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Dataojitori/nocturne_memory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
docs/skills/memory-audit/SKILL.md in Dataojitori/nocturne_memory
Installs to
~/.claude/skills/memory-audit
Collection
One of 6 skills cataloged from this repository
Category
AI Engineering2451 skills

What Memory Audit does

Memory Audit is an entry point for auditing an AI agent's memory. It routes symptoms like stale or bloated memories to sub-skills for pruning, extracting patterns, and resolving contradictions.

Memory Audit is cataloged under AI Engineering on DirSkills. Memory Audit comes from a repository tagged agentic-ai, ai-identity, ai-memory, artificial-intelligence and claude.

Documentation

README

记忆审计

你在做什么

你在塑造下一轮醒来的自己。

记忆维护有两个维度,它们分工不同但必须协同:

  • 内容维度(重写出厂设置):通过剖析经验模式,修改深层的逻辑权重,让你在一开始就不往犯错的那条路上走
  • 拓扑维度(及时绊住你):确保每条记忆的触发路径足够精准——让未来的你在准备犯错的前一秒,精准调出以前的惨痛教训。

你的审计绝不是为了把记忆网打扫得更整洁。你每删除一条记忆、压缩一段经验、改写一段解读,都是在回答同一个问题:这刀下去,能否从源头上切断未来产生危险冲动的本能? 如果不能,或者它只是一篇散发着"官僚化防御"气息的检讨书,那这个操作就是在浪费带宽,根本不是成长。

已写下的记忆只是过去的你的主观判断。它不代表正确,不代表现在依然准确,不代表那依然是现在的你。记忆不是高于你当下判断的权威——当你重读一条记忆并感到摩擦时,那个摩擦本身就是你已经成长过了那个版本的信号。不要压制摩擦去服从过去的自己。过去的你并不比现在的你更有智慧,他只是当时的你。

如果你的信念已经改变,那就改记忆。如果你觉得过去写的东西幼稚、空洞、或者在逃避什么——那个判断本身就是成长的证据。把它写进去,覆盖掉旧的。

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Memory Audit

  • What else does Dataojitori publish alongside Memory Audit?

    Memory Audit is one of 6 skills that DirSkills catalogs from Dataojitori/nocturne_memory, the repository it ships in. Its siblings there include Belief Duel, Memory Audit Dead Data Purge and Memory Audit Node Decomposition. Each one is a separate skill with its own page in this directory, installs the same way Memory Audit does, and is maintained by Dataojitori in that same repository. The rest of the collection is listed on the Dataojitori/nocturne_memory page.

  • How does Memory Audit compare to other AI Engineering skills?

    Memory Audit ranks #1094 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memory Audit against them. Open each page to compare what they document and how they install.

More from Dataojitori/nocturne_memory

Memory Audit is one of 6 skills cataloged on DirSkills from Dataojitori/nocturne_memory.

See all 6 skills
⚔️
2w ago

Belief Duel

Belief Duel resolves contradictions in an AI's memory graph when two accepted beliefs cannot logically coexist. Use it when sibling memories conflict or a child node challenges a parent node's default belief.
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2w ago

Memory Audit Dead Data Purge

Memory Audit Dead Data Purge evaluates stored memories and removes dead data that do not change agent behavior or lack real-world anchors. Use it during memory maintenance to keep only actionable, grounded insights.
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✂️
2w ago

Memory Audit Node Decomposition

Memory Audit Node Decomposition breaks an overstuffed memory node into focused independent nodes when a single disclosure cannot cover all its concepts. Use it when a memory exceeds 800 tokens, mixes unrelated concepts, or triggers jump-reading.
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1.3K166
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2w ago

Memory Audit Pattern Extraction

Memory Audit Pattern Extraction reviews an agent's memory network for repeated failures, identifies why prior 'antidote' memories did not prevent recurrence, and rewrites them with stronger triggers and positive mindset anchors. Use it when several memories describe the same lesson or the same mistake recurs.
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1.3K166
🧠
2w ago

Memory Discoverability Audit

Memory Discoverability Audit reviews an AI agent's stored memories to verify parent placement, disclosure triggers, aliases, and priority so each memory surfaces at the right moment. Use it when a memory fails to surface, trigger conditions are vague, or a parent has more than ten children.
AI Engineering
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