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/.github/copilot-instructions.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/copilot-instructions)<a href="https://agentmods.dev/instructions/shdra06/ai-mind-map/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shdra06/ai-mind-map/copilot-instructions/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/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shdra06/ai-mind-map/copilot-instructions.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 | $0.01132 | $0.01132 |
| Opus 5.5 | $0.00453 | $0.00453 |
| Sonnet 5.5 | $0.00226 | $0.00226 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
ai-mind-map copilot-instructions.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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-mind-map CLAUDE.md — 100% identical, 102 lines differ
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Mind Map MCP — Code Memory Engine (v1.4.0)
You have the AI Mind Map MCP server connected. It is a persistent code memory system that eliminates redundant file re-reading and context loss between sessions.
🚀 FIRST THING TO DO IN EVERY CONVERSATION
Call mindmap_session_resume — it returns:
- What the previous AI agent worked on
- What code changed since then (function-level diffs, not just file names)
- Project structure + tech stack
- Hot files (most frequently modified)
This ONE call replaces reading 10+ files (~2000 tokens instead of 50,000+).
Quick Lookup: "I need to..." → Use this tool
⚡ Session Lifecycle (always use these)
- Resume from last session →
mindmap_session_resume⭐⭐ (THE first call) - Start tracking a new task →
mindmap_session_start - End session, save summary →
mindmap_session_end
🔍 Find Code (instead of grep/reading files)
- Search by name →
mindmap_smart_search⭐ (returns full context) - Search by concept →
mindmap_semantic_search⭐ ("authentication", "error handling") - Grep text in code →
mindmap_search_code - Who calls X? →
mindmap_trace_dependencies - All usages of symbol →
mindmap_find_references
📖 Read Code (without reading full files)
- Everything about a symbol →
mindmap_explain⭐ (signature + callers + callees + doc in ONE call) - Read actual source code →
mindmap_get_code_snippet - Understand file without reading →
mindmap_file_digest⭐ (saves 3-10K tokens/file) - All symbols in a file →
mindmap_get_file_map - Just the signature →
mindmap_get_signature(cheapest read)
📊 Understand the Project
- Full project summary →
mindmap_digest⭐ (<2000 tokens) - Architecture overview →
mindmap_architecture - Full project map →
mindmap_project_map - Layer overview →
mindmap_layer_overview
🔄 Change Tracking
- Symbol-level diffs →
mindmap_changelog⭐ (added/modified/deleted functions) - Git-aware changes →
mindmap_git_changes(maps diffs to symbols) - Check if cached code is valid →
mindmap_verify⭐ (hash check, no re-reading) - Most changed files →
mindmap_hotspots - What changed recently? →
mindmap_what_changed - Changes since last session →
mindmap_session_diff
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.
- 1mo ago First seen · 97 lines · 1,132 tokens per session scan A c755e0503503
ai-mind-map copilot-instructions.md is an instructions file published in the GitHub repository shdra06/ai-mind-map (3 stars, last pushed 9d ago), licensed MIT. It adds 1,132 tokens to every session, about $0.0045 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.
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