karellen-rr-mcp: Instructions file for Claude Code

CLAUDE.md

karellen-rr-mcp CLAUDE.md is an instructions file for Claude Code from karellen/karellen-rr-mcp. It costs 1,189 tokens per session, scanned A, original, Apache-2.0.

Project instructions for karellen-rr-mcp, a server that lets an AI coding tool inspect a recorded program while debugging it forward or backward. It uses rr and GDB to examine program state without changing the source code.

In plain words
What is it for?
Use it to build and test the Python project, run selected unit tests, check Flake8 rules, and understand its two-process debugging setup.
Why use it?
Reverse debugging can show what happened before a failure, but the project has specific build, test, lint, and architecture rules. These instructions explain how to work with them correctly.

Instructions file for Claude Code

Written for Claude Code: SessionStart hook event. Also seen: mentions .claude-plugin; mentions CLAUDE.md; mentions Claude Code.

This is karellen/karellen-rr-mcp's own configuration. It tells Claude Code how to work on karellen-rr-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything karellen-rr-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/karellen/karellen-rr-mcp/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/karellen/karellen-rr-mcp

Made for: Claude Code.

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Per session 1,189 This file is loaded in full into every session.
When invoked 1,189 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01189 $0.01189
Opus 5.5 $0.00476 $0.00476
Sonnet 5.5 $0.00238 $0.00238
Haiku 4.5 $0.00119 $0.00119

Measured 18d ago against content hash f49d1e774732, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 18d 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.

CLAUDE.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 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. Most tests call tool functions directly; mcp_protocol_tests.py drives the server through a real MCP Client (in-process and over a stdio subprocess) to cover protocol negotiation, tool listing, and tool-call serialization.

If karellen-rr-mcp (and therefore mcp) is installed in the user site-packages (pip install --user), run pyb from a dedicated virtualenv rather than the user-site pyb: PyBuilder keeps user-site paths ahead of the build venv in the test subprocess, so tests silently import the user-site mcp instead of the pinned one.

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:

  1. rr gdbserver (rr replay -s <port>) -- managed by rr_manager.ReplayServer
  2. GDB/MI via pygdbmi GdbController -- managed by gdb_session.GdbSession

Module responsibilities:

  • server.py -- MCPServer (MCP Python SDK v2) definition, all @mcp.tool() endpoints, module-level singleton session state (_replay_server, _gdb_session), cleanup/signal handling, and main() entry point. The _tag_errors decorator converts all exceptions to ToolError with prefixed messages (gdb:, rr:, internal:), and holds _session_lock for the duration of every tool call: SDK v2 runs sync tools on worker threads, and the singleton session state is not thread-safe.
  • rr_manager.py -- Subprocess lifecycle: record() runs rr record, ReplayServer starts/stops rr replay gdbserver, helper functions for rr ps, rr traceinfo, rr rm, listing traces. Port allocation via ephemeral socket binding.
  • gdb_session.py -- Wraps pygdbmi GdbController. _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 via RR_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/restore use -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.).

Read the full file on GitHub · 65 lines

Changes

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.

  1. 18d ago Changed f49d1e774732
  2. 1mo ago Changed · +2 lines · +175 tokens per session da3f9974c77c
  3. 2mo ago First seen · 63 lines · 1,014 tokens per session scan A 70c5d5f5f75e

Subscribe to this mod's changes

karellen-rr-mcp CLAUDE.md is an instructions file published in the GitHub repository karellen/karellen-rr-mcp (3 stars, last pushed 19d ago), licensed Apache-2.0. It adds 1,189 tokens to every session, about $0.0048 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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