Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add KirKruglov/claude-skills-kit --skill memory-auditor-coworkgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/memory-auditor-cowork)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/memory-auditor-cowork"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/memory-auditor-cowork/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/memory-auditor-cowork"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/memory-auditor-cowork.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00112 | $0.02697 |
| Opus 5 | $0.00056 | $0.01349 |
| Sonnet 5 | $0.00022 | $0.00539 |
| Haiku 4.5 | $0.00011 | $0.00270 |
Grade A, and why
memory-auditor-cowork scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: memory-auditor-cowork
Audit Claude's file-based memory in Cowork: detect problematic entries across auto-memory, CLAUDE.md, User Preferences, and Project Instructions. Propose specific fixes with user confirmation. Can automatically modify auto-memory files.
Triggers
Russian: "аудит памяти", "проверь память", "аудит", "почисти память", "разбери память", "что у меня в памяти", "ревью памяти" English: "audit memory", "memory audit", "check memory", "clean up memory", "review memory", "memory health check", "what's in my memory"
Language Detection
Determine the language of the user's first message. Use that language for all subsequent output. If the language is ambiguous, default to Russian.
Input
Explicit user command (trigger). Data for analysis comes from files and context available in the current Cowork environment.
Output
In-chat report following the fixed Output Template (see below). Layer overview, prioritized issue table, concrete actions: automatic for auto-memory, manual instructions for other layers.
Reference: Cowork Memory Layers and Access Rights
This reference defines the complete and closed list of layers. The skill works ONLY with these layers. Adding new layers, analyzing other sources (native Claude.ai memory, conversation_search, history) is prohibited.
| Layer | Description | Location | Skill access |
|---|---|---|---|
| auto-memory | File-based memory: MEMORY.md (index) + individual .md files with frontmatter (name, description, type) | .auto-memory/ directory — path determined from context or via search |
Read, edit, delete files via Read, Write, Edit. Update MEMORY.md |
| CLAUDE.md | Global/project user instructions | CLAUDE.md file in workspace root or .claude/ |
Read only. Provide manual instructions to user |
| User Preferences | Personal user settings in system prompt | Visible in conversation context (user_preferences block or equivalent) |
Read only. Provide manual instructions: Settings > Profile > Preferences |
| Project Instructions | Project instructions set by user | Visible in conversation context (project_instructions block or equivalent) |
Read only. Provide manual instructions to user |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 225 lines · 112 tokens per session scan A ab4f16aff4b0
memory-auditor-cowork is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 2,697 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
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A project documentation framework that records a project's goals, requirements, roadmap, and current state in separate files. It also keeps those documents within set size limits for an AI coding agent.
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Recall project-scoped Waggle history about a topic, component, decision, bug, experiment, or implementation attempt.