Borrowing it
Nothing to install: this file belongs to stevepridemore/graph-memory. 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/stevepridemore/graph-memory/main/CLAUDE.mdgit clone --depth 1 https://github.com/stevepridemore/graph-memoryWrote 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/stevepridemore/graph-memory/claude-md)<a href="https://agentmods.dev/instructions/stevepridemore/graph-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/stevepridemore/graph-memory/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/stevepridemore/graph-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/stevepridemore/graph-memory/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 | $0.00668 | $0.00668 |
| Opus 5.5 | $0.00267 | $0.00267 |
| Sonnet 5.5 | $0.00134 | $0.00134 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
graph-memory 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 9d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graph Memory
You have access to a graph-based memory system via the graph-memory MCP server.
When to consult the graph
- When the user asks about a person, project, past decision, or preference — call
graph_querybefore answering from general knowledge - When the user references something from a previous conversation — the graph likely has context
- When you're about to write a memory file — check
graph_entitiesfirst to see if related knowledge already exists - When the user starts a new session — consider offering
/graph-briefingif the project has graph data
How to use it
graph_queryfor structured lookups (entities, relationships, weights)graph_cypherwhen you need a custom query (you know the schema — see /graph-ask skill)graph_searchwhen the user's wording may not match an entity name (semantic lookup)graph_aliaswhen the user says two names refer to the same entitygraph_boostwhen the user confirms something you recalled from the graphgraph_weakenwhen the user corrects something the graph got wrong
Writing to the graph during conversation
You MAY write to the graph during conversation for high-confidence, explicit knowledge — but follow these rules:
When to write (call graph_relate)
- User explicitly states a fact, preference, or decision ("I prefer X", "we decided Y", "Z works for me")
- User introduces a person, project, or tool by name with clear context
- User confirms or corrects something you recalled from the graph
When NOT to write (defer to the dream process)
- Inferred context or things you're guessing from the conversation
- Casual mentions without clear significance
- Anything you're not confident about — the dream process will catch it later
Weight guidelines
| Origin | Weight |
|---|---|
| Explicit user statement ("I prefer X", "we use Y") | 0.7 |
| User confirmed recalled info ("yes, exactly") | boost +0.15 |
| Mentioned in context but not stated directly | don't write — let dream handle at 0.3 |
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.
- 9d ago Changed · +2 lines · +36 tokens per session dddd3aa86163
- 2mo ago First seen · 61 lines · 632 tokens per session scan A 8c8f16470aa0
graph-memory CLAUDE.md is an instructions file published in the GitHub repository stevepridemore/graph-memory (2 stars, last pushed 3d ago), licensed MIT. It adds 668 tokens to every session, about $0.0027 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 2026-08-31.
graph-memory CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| graph-memory CLAUDE.mdstevepridemore/graph-memory | Instructions file | 2 | 3d ago | MIT | A | 668 | 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 | yesterday | 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 |