Borrowing it
Nothing to install: this file belongs to karellen/karellen-rr-mcp. 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/karellen/karellen-rr-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/karellen/karellen-rr-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/instructions/karellen/karellen-rr-mcp/claude-md)<a href="https://agentmods.dev/instructions/karellen/karellen-rr-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/karellen/karellen-rr-mcp/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/karellen/karellen-rr-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/karellen/karellen-rr-mcp/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 | $0.01014 | $0.01014 |
| Opus 5 | $0.00507 | $0.00507 |
| Sonnet 5 | $0.00203 | $0.00203 |
| Haiku 4.5 | $0.00101 | $0.00101 |
Grade A, and why
karellen-rr-mcp 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 11d 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.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project
karellen-rr-mcp is an MCP server that enables LLM clients to use rr for reverse debugging. It records a failing program with rr, then replays it with full forward and reverse debugging via GDB/MI (using pygdbmi), so the LLM can inspect program state without modifying source code.
Build & Test
This is a PyBuilder project. The build tool is pyb.
pyb # default: analyze + publish (lint, test, coverage, package)
pyb run_unit_tests # run all unit tests only
pyb analyze # lint (flake8) + test + coverage
Run a single test module by overriding the unittest_module_glob property:
pyb run_unit_tests -P unittest_module_glob=mi_commands_tests
Tests live in src/unittest/python/*_tests.py and use unittest with unittest.mock.
Lint
Flake8 with: max_line_length=130, extend_ignore=E303,E402. Applies to source, tests, and scripts. Flake8 violations break the build.
Architecture
Two-process model per debugging session:
- rr gdbserver (
rr replay -s <port>) -- managed byrr_manager.ReplayServer - GDB/MI via pygdbmi
GdbController-- managed bygdb_session.GdbSession
Module responsibilities:
server.py-- FastMCP server definition, all@mcp.tool()endpoints, module-level singleton session state (_replay_server,_gdb_session), cleanup/signal handling, andmain()entry point. The_tag_errorsdecorator converts all exceptions toToolErrorwith prefixed messages (gdb:,rr:,internal:).rr_manager.py-- Subprocess lifecycle:record()runsrr record,ReplayServerstarts/stopsrr replaygdbserver, helper functions forrr ps,rr traceinfo,rr rm, listing traces. Port allocation via ephemeral socket binding.gdb_session.py-- Wraps pygdbmiGdbController._write_until()is the core I/O loop: sends a GDB/MI command and keeps reading responses until a predicate is satisfied or deadline expires. All timeouts are configurable viaRR_MCP_TIMEOUT_*environment variables.mi_commands.py-- Pure functions returning GDB/MI command strings. Reverse execution uses CLI commands (rc,reverse-step, etc.) because MI has no reverse equivalents.rr_when,rr_seek,checkpoint_save/restoreuse-interpreter-exec console.response_parser.py-- Pure functions parsing pygdbmi response dicts into domain dataclasses. Key helpers:find_result_response(),find_stop_event(),get_console_output(),is_error().types.py-- Dataclasses for all MCP tool return types (Breakpoint,Frame,StopEvent,Variable,ThreadInfo, etc.).
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.
- 11d ago First seen · 63 lines · 1,014 tokens per session scan A 70c5d5f5f75e
karellen-rr-mcp CLAUDE.md is an instructions file published in the GitHub repository karellen/karellen-rr-mcp (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,014 tokens to every session, about $0.0051 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 2026-08-31.
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