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.
git clone --depth 1 https://github.com/angrysky56/local-repl-mcpWrote 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/angrysky56/local-repl-mcp/codegraph)<a href="https://agentmods.dev/rules/angrysky56/local-repl-mcp/codegraph"><img src="https://agentmods.dev/badge/rules/angrysky56/local-repl-mcp/codegraph/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/angrysky56/local-repl-mcp/codegraph"><img src="https://agentmods.dev/badge/rules/angrysky56/local-repl-mcp/codegraph.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 | $0.00654 | $0.00654 |
| Opus 5.5 | $0.00262 | $0.00262 |
| Sonnet 5.5 | $0.00131 | $0.00131 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
codegraph 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.
This is a copy
100% identical to codegraph — 0 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeGraph
This project has a CodeGraph MCP server (codegraph_* tools) configured. CodeGraph is a tree-sitter-parsed knowledge graph of every symbol, edge, and file. Reads are sub-millisecond and return structural information grep cannot.
When to prefer codegraph over native search
Use codegraph for structural questions — what calls what, what would break, where is X defined, what is X's signature. Use native grep/read only for literal text queries (string contents, comments, log messages) or after you already have a specific file open.
| Question | Tool |
|---|---|
| "Where is X defined?" / "Find symbol named X" | codegraph_search |
| "What calls function Y?" | codegraph_callers |
| "What does Y call?" | codegraph_callees |
| "What would break if I changed Z?" | codegraph_impact |
| "Show me Y's signature / source / docstring" | codegraph_node |
| "Give me focused context for a task/area" | codegraph_context |
| "See several related symbols' source at once" | codegraph_explore |
| "What files exist under path/" | codegraph_files |
| "Is the index healthy?" | codegraph_status |
Rules of thumb
- Answer directly — don't delegate exploration. For "how does X work" / architecture / trace questions, answer with 2-3 codegraph calls:
codegraph_contextfirst, then ONEcodegraph_explorefor the source of the symbols it surfaces. Codegraph IS the pre-built index, so spawning a separate file-reading sub-task/agent — or running a grep + read loop — repeats work codegraph already did and costs more for the same answer. - Trust codegraph results. They come from a full AST parse. Do NOT re-verify them with grep — that's slower, less accurate, and wastes context.
- Don't grep first when looking up a symbol by name.
codegraph_searchis faster and returns kind + location + signature in one call. - Don't chain
codegraph_search+codegraph_nodewhen you just want context —codegraph_contextis one call. - Don't loop
codegraph_nodeover many symbols — onecodegraph_explorecall returns several symbols' source grouped in a single capped call, while each separate node/Read call re-reads the whole context and costs far more. - Index lag: the file watcher debounces ~500ms behind writes; don't re-query immediately after editing a file in the same turn.
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 · 39 lines · 654 tokens per session scan A f60cde20259d
codegraph is a cursor rule published in the GitHub repository angrysky56/local-repl-mcp (4 stars, last pushed 4mo ago), licensed MIT. It adds 654 tokens to every session, about $0.0026 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to codegraph, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
mcp-server-pattern
Core coding patterns for MCP Server implementation.
error-handling
Error handling patterns for the Lineai MCP Server.
about-codebase
General information about the Lineai MCP Server codebase and its purpose.
best-practices
Best practices for working with the Lineai MCP Server codebase.
technologies
Key technologies used in the Lineai MCP Server project.
debugging
Debugging guidance for the Lineai MCP Server.