Borrowing it
Nothing to install: this file belongs to shdra06/ai-mind-map. 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/shdra06/ai-mind-map/main/CLAUDE.mdgit clone --depth 1 https://github.com/shdra06/ai-mind-mapWrote 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/shdra06/ai-mind-map/claude-md)<a href="https://agentmods.dev/instructions/shdra06/ai-mind-map/claude-md"><img src="https://agentmods.dev/badge/instructions/shdra06/ai-mind-map/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/shdra06/ai-mind-map/claude-md"><img src="https://agentmods.dev/badge/instructions/shdra06/ai-mind-map/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 | $0.00350 | $0.00350 |
| Opus 5.5 | $0.00140 | $0.00140 |
| Sonnet 5.5 | $0.00070 | $0.00070 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
ai-mind-map 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 8d 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.
This is a copy
100% identical to ai-mind-map copilot-instructions.md — 102 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AI Mind Map MCP
Use native search for exact strings, known paths, and small files. Use the local graph for repeated symbols, callers, routes, and architecture questions.
When alignment is unknown, check mindmap_status once and set mindmap_set_project(projectPath: "<absolute path>") if needed.
- Search:
mindmap_smart_search(query: "...", limit: 5). Signatures are the default; request code or callers only when needed. - Relationships:
mindmap_explain(symbol: "...", filePath: "...", depth: 1). - Routes:
mindmap_route_map(prefix: "/api", limit: 20). Check truncation and unresolved coverage. - Exact Git comparisons:
ai-mind-map diff [base] [target]exports a local patch and viewer. Use--fetchfor a refreshed remote base. Read patch hunks into chat only when analysis is requested. - Source:
mindmap_file_skeleton(file: "...")for unfamiliar structure;mindmap_read_lines(filePath: "...", startLine: X, endLine: Y)for logic. Direct bounded reads are valid. - Memory:
mindmap_rememberfor durable facts;mindmap_recallfor prior knowledge.
Refresh after external changes. Size/mtime checks can miss preserved-metadata edits. Verify consequential claims against source and tests. AST deltas are not behavioral verification. Graph edges can be incomplete or heuristic; an empty result does not prove absence.
If MCP is unavailable, use ai-mind-map search, trace, routes, or native tools. Do not force extra graph calls when direct evidence is cheaper.
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.
- 8d ago Changed · -80 lines · -782 tokens per session f30e42748379
- 1mo ago First seen · 97 lines · 1,132 tokens per session scan A c755e0503503
ai-mind-map CLAUDE.md is an instructions file published in the GitHub repository shdra06/ai-mind-map (3 stars, last pushed 9d ago), licensed MIT. It adds 350 tokens to every session, about $0.0014 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ai-mind-map copilot-instructions.md, differing in 102 lines, and is treated as a copy.
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