Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/giauphan/codeatlas-platform/cursor-codeatlasgit clone --depth 1 https://github.com/giauphan/codeatlas-platformWhat 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 | $0.00634 | $0.00634 |
| Opus 5 | $0.00317 | $0.00317 |
| Sonnet 5 | $0.00127 | $0.00127 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
cursor-codeatlas 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 2d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeAtlas MCP — Codebase Intelligence
An MCP server named codeatlas is available. It provides code analysis data including project structure, dependencies, and code insights.
Always use CodeAtlas MCP tools BEFORE manual file searches — faster and gives relationship context.
Setup (if not configured)
Add to .cursor/mcp.json:
{
"mcpServers": {
"codeatlas": {
"command": "npx",
"args": ["-y", "-p", "codeatlas-ai", "codeatlas-mcp"]
}
}
}
Workflow
- Before making changes → call
trace_feature_flowwith a keyword to find related files - Looking for a function/class → call
search_entities. NEVER use grep or find commands. - Understanding connections → call
get_dependenciesfor import/call relationships - High-level overview → call
generate_system_flowfor Mermaid architecture diagram - Execution flow of a feature → call
generate_feature_flow_diagramfor call-chain Mermaid diagram - Exploring a file → call
get_file_entitiesto see all entities in that file - After making changes → call
sync_system_memoryto update AI memory
Available Tools
| Tool | When to use |
|---|---|
list_projects |
List all analyzed projects |
get_project_structure |
Overview of modules, classes, functions |
get_dependencies |
Import/call/containment relationships |
get_insights |
AI-generated code quality analysis |
search_entities |
Find function, class, or module by name |
get_file_entities |
All entities inside a specific file |
generate_system_flow |
Mermaid diagram of system architecture (module imports) |
generate_feature_flow_diagram |
Mermaid diagram of feature execution flow (call chains) |
sync_system_memory |
Update .agents/memory/ after code changes |
trace_feature_flow |
Trace feature flow before working on it |
Memory & Telemetry Sync
After completing code changes, ALWAYS call the sync_system_memory tool to push details to the remote server and SQLite + sqlite-vec database:
changeDescription(ALWAYS required): Description of the changes madebusinessRule(Optional): Extract and save any new business logic rules mentioned by the user
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.
- 2d ago First seen · 70 lines · 634 tokens per session scan A b4408c7ee560
cursor-codeatlas is a cursor rule published in the GitHub repository giauphan/codeatlas-platform (11 stars, last pushed 2d ago), licensed MIT. It adds 634 tokens to every session, about $0.0032 per session on Opus 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.
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