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/.windsurfrulesgit 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/rules/shdra06/ai-mind-map/windsurfrules)<a href="https://agentmods.dev/rules/shdra06/ai-mind-map/windsurfrules"><img src="https://agentmods.dev/badge/rules/shdra06/ai-mind-map/windsurfrules/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/rules/shdra06/ai-mind-map/windsurfrules"><img src="https://agentmods.dev/badge/rules/shdra06/ai-mind-map/windsurfrules.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 | $0.00960 | $0.00960 |
| Opus 5.5 | $0.00384 | $0.00384 |
| Sonnet 5.5 | $0.00192 | $0.00192 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
windsurfrules 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.
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.
AI Mind Map MCP — Code Memory Engine (v1.22+)
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, saving 80–99% of tokens.
🚀 FIRST THING TO DO IN EVERY CONVERSATION
- Call
mindmap_statusto verify project alignment. - If the active workspace is not set, call
mindmap_set_project(projectPath: "<absolute-path>").- This ONE call does everything: switches projects, auto-reindexes if needed, and returns previous session context and recent file/symbol changes.
- Do NOT call reindex or file search before setting the project.
⚡ Quick Lookup: "I need to..." → Use this tool
🧭 Session & Project Alignment
- Switch or resume project →
mindmap_set_project(projectPath: "...")⭐⭐ (THE first call) - Check index status & db path →
mindmap_status() - Force re-index after git checkout →
mindmap_reindex(force: false)
🔍 Find & Understand Code (Without Reading Full Files)
- Search by symbol or concept →
mindmap_smart_search(query: "...", mode: "hybrid")⭐ - Everything about a symbol in 1 call →
mindmap_explain(symbol: "...")⭐ (signature + callers + callees + layer + blast radius) - Understand file structure without reading →
mindmap_file_skeleton(file: "...")⭐ (saves 3–10K tokens/file) - Read targeted code lines with symbol context →
mindmap_read_lines(filePath: "...", startLine: X, endLine: Y) - Full project architecture map →
mindmap_project_map(detail: "standard")
✏️ Change Tracking & Verification
- Verify edits atomically (<50ms AST diffs) →
mindmap_verify_changes(filePath: "...")⭐ (DO NOT re-read full files!)
🧠 Persistent Memory & Decisions (Cross-Session)
- Store a convention or gotcha →
mindmap_remember(content: "...", category: "...", tags: [...], relatedFiles: [...]) - Recall past decisions or facts →
mindmap_recall(query: "...") - Record an architectural decision (ADR) →
mindmap_decide(title: "...", description: "...", rationale: "...", alternatives: [...], consequences: [...], relatedFiles: [...], tags: [...])
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 First seen · 63 lines · 960 tokens per session scan A adcb49063863
windsurfrules is a cursor rule published in the GitHub repository shdra06/ai-mind-map (3 stars, last pushed 9d ago), licensed MIT. It adds 960 tokens to every session, about $0.0038 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 2026-10-18.
Other cursor rules, from other repositories
replen
Replen integration — session-start matches, portfolio recall, silent auto-reground.
memory
Persistent memory graph — load graphindex.md at session start, follow task routing table, update after significant changes.
haive-memories
Hivelore shared memories & block sensors (auto-generated).
haive-mcp-required
Require Hivelore MCP (getbriefing / memrelevantto) before substantive repo edits.
compendium
Prefer the Compendium MCP gateway to shrink noisy/large context before pasting it into the conversation.
cursor
Domain Memory — project domain knowledge via MCP.