Borrowing it
Nothing to install: this file belongs to s60yucca/mnemos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/s60yucca/mnemos/main/CLAUDE.mdgit clone --depth 1 https://github.com/s60yucca/mnemosWrote 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/instructions/s60yucca/mnemos/claude-md)<a href="https://agentmods.dev/instructions/s60yucca/mnemos/claude-md"><img src="https://agentmods.dev/badge/instructions/s60yucca/mnemos/claude-md/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/instructions/s60yucca/mnemos/claude-md"><img src="https://agentmods.dev/badge/instructions/s60yucca/mnemos/claude-md.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 | $0.00611 | $0.00611 |
| Opus 5.5 | $0.00244 | $0.00244 |
| Sonnet 5.5 | $0.00122 | $0.00122 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
mnemos CLAUDE.md 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 2mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Integration
Use Mnemos automatically during this workspace session.
Retrieval
At the start of a new task or session, call mnemos_context once before planning, coding, or delegating to a subagent.
- Use the current task, bug, feature, or subsystem as the query
- Use the current project scope
- Use a token budget around 2000
- Do not call repeatedly unless the task changes substantially
Before Delegating To Subagents
Claude subagents may not receive session-start hook context or parent steering context.
Before using the Task tool or delegating to any subagent:
- Call
mnemos_contextwith the task/feature/bug as query. - Read the returned context.
- Include the relevant Mnemos context or memory IDs in the subagent prompt.
- Tell the subagent to call
mnemos_searchif it needs deeper project memory.
Example:
Task: Review payment collection bug.
Mnemos context: payment collections use current-shift scope; hotel history requires explicit hotel scope.
Use these constraints while reviewing backend handlers and frontend list filters.
Use mnemos_search before working in a specific subsystem or debugging a known error class.
When to Store
Use the mnemos_store tool to capture durable learnings during the session, not at the end.
| Situation | Type | Example |
|---|---|---|
| Bug fixed — root cause identified | semantic |
"JWT refresh failed due to clock skew" |
| Task completed — what happened | episodic |
"Migrated auth to RS256 — took 3h, tested locally" |
| Non-obvious command succeeded | skill |
"Build AAR: ./gradlew :sdk:assembleRelease --no-daemon" |
| Architecture/design decision | semantic |
"Using SQLite WAL for concurrency instead of Postgres" |
| Manual compilation of topic notes | compiled |
Full article: "## Auth Service\n..." |
Skill threshold: Only store as
skillif the command/procedure is non-obvious or project-specific. Don't storegit status,ls,cd. Do store project-specific commands with flags, paths, or ordering requirements.
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.
- 2mo ago First seen · 67 lines · 611 tokens per session scan A 9de2401a821c
mnemos CLAUDE.md is an instructions file published in the GitHub repository s60yucca/mnemos (23 stars, last pushed 3mo ago), licensed MIT. It adds 611 tokens to every session, about $0.0024 per session on Opus 5.5. 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.
mnemos CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mnemos CLAUDE.mds60yucca/mnemos | Instructions file | 23 | 3mo ago | MIT | A | 611 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |