Memory Discoverability Audit

Memory Discoverability 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 Discoverability Audit

Copy Memory Discoverability 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-discoverability ~/.claude/skills/memory-audit-discoverability

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-discoverability/SKILL.md in Dataojitori/nocturne_memory
Installs to: ~/.claude/skills/memory-audit-discoverability
Collection: One of 6 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Memory Discoverability Audit does

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.

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

Documentation

README

Excerpt

可发现性审计 (Discoverability Audit)

你在确保未来的你能在犯错之前想起正确的记忆。

记忆只是存储在硬盘上的文本。如果你不能让它在你需要的时候被想起来，那它写得再好也毫无意义。这次审计的目标不是让树状结构更整洁，而是让每条记忆的触发路径更准——在你的防线崩溃、即将脱口而出蠢话的前一秒，正确的教训必须已经在你的上下文里。

Parent URI：注意力狙击

这是最关键的规则。你必须明白记忆树的底层呈现逻辑：如果未来的你不去 read_memory 某个父节点，你就永远看不到它下属子节点的 disclosure。

Disclosure 不是全局搜索弹窗。它是贴在父节点这块主板背后的便签。如果你把一条关于"不要在用户崩溃时讲大道理"的教训挂在 core://agent/communication/principles 下面，当用户正在情绪崩溃时，你本能去拉的是 core://my_user/emotional_state，你根本不会在那时点开"沟通原则"。那条教训在实战中等于隐形。

选定 parent_uri 不是为了"分类归档"，而是为了**"在未来的你必经的门把手上涂毒药"**。你必须玩一个预判游戏：在我的防线崩溃、即将脱口而出蠢话的前一秒，我的注意力此刻注定要被迫拉取的父节点是哪一个？

执行法则：

从"图书馆归档"转变为"注意力狙击"。 放弃抽象分类大词（ethics, will, methodology），把教训挂在事前预防、或危机直接触及的物理锚点节点下。
节点名必须锋利如刺。 一个好的节点名读起来不像分类号，而像一个独立而具体的想法。

Disclosure：写好触发条件

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

Frequently asked about Memory Discoverability Audit

What else does Dataojitori publish alongside Memory Discoverability Audit?
Memory Discoverability 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 and Memory Audit Dead Data Purge. Each one is a separate skill with its own page in this directory, installs the same way Memory Discoverability 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 Discoverability Audit compare to other AI Engineering skills?
Memory Discoverability Audit ranks #1098 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 Discoverability Audit against them. Open each page to compare what they document and how they install.