pwndbg-lldb-mcp: Instructions file for Claude Code

CLAUDE.md

pwndbg-lldb-mcp CLAUDE.md is an instructions file for Claude Code from Micro-Evaluation-Group/pwndbg-lldb-mcp. It costs 1,172 tokens per session, scanned A, original, MIT.

Project instructions for pwndbg-lldb-mcp, an MCP server that exposes LLDB debugging functions to AI agents. LLDB is a tool for inspecting and controlling running programs.

In plain words
What is it for?
Use them when modifying or testing the server, especially when adding MCP tools, running its unit or integration tests, or building its documentation.
Why use it?
They explain the project’s unusual single-file structure, available tests, documentation layout, and standard development commands.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is Micro-Evaluation-Group/pwndbg-lldb-mcp's own configuration. It tells Claude Code how to work on pwndbg-lldb-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 pwndbg-lldb-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Micro-Evaluation-Group/pwndbg-lldb-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/Micro-Evaluation-Group/pwndbg-lldb-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Micro-Evaluation-Group/pwndbg-lldb-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for pwndbg-lldb-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/micro-evaluation-group/pwndbg-lldb-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/micro-evaluation-group/pwndbg-lldb-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/micro-evaluation-group/pwndbg-lldb-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/micro-evaluation-group/pwndbg-lldb-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.

agentmods 80×15 button for pwndbg-lldb-mcp CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/micro-evaluation-group/pwndbg-lldb-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/micro-evaluation-group/pwndbg-lldb-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,172 This file is loaded in full into every session.
When invoked 1,172 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 $0.01172 $0.01172
Opus 5 $0.00586 $0.00586
Sonnet 5 $0.00234 $0.00234
Haiku 4.5 $0.00117 $0.00117

Measured 9d ago against content hash 448f085c0dfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pwndbg-lldb-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 9d 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 · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 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 Layout

This is an unusual codebase: nearly all server logic lives in a single file, pwndbg_lldb_mcp.py (~5400 lines). It exposes 146 @mcp.tool() functions plus three @mcp.resource() endpoints. There is no src/ package — adding a tool means adding another decorated function in this file.

  • pwndbg_lldb_mcp.py — entire MCP server
  • test_callbacks.py — unit tests (no LLDB required; uses pipes to mock the PTY)
  • test_improvements.py — integration tests (requires lldb on PATH; uses /usr/bin/true as a target)
  • docs/ — Sphinx sources; docs/api.rst autogenerates from docstrings via automodule
  • .github/workflows/docs.yml — builds and publishes docs to GitHub Pages on every push to main

Common Commands

uv sync                                  # install deps into .venv/
.venv/bin/python pwndbg_lldb_mcp.py      # run the MCP server (stdio transport)
.venv/bin/python pwndbg_lldb_mcp.py --debug   # with debug logging to stdout
.venv/bin/python test_callbacks.py       # run unit tests (no LLDB needed)
.venv/bin/python test_improvements.py    # run integration tests (needs lldb on PATH)
make -C docs html                        # build docs locally (requires `pip install -e ".[docs]"`)

There is no test runner config (no pytest/unittest discovery). Each test file is a standalone script with its own main() and asyncio.run(...). Run a single test by editing the test list in main() or by importing and calling the test function directly.

Architecture

PTY-based communication. The server does not use the LLDB Python API. Instead, each PwndbgSession spawns lldb as a subprocess attached to a pty.openpty() pair, writes commands to the master fd, and reads until one of PROMPT_PATTERNS ((pwndbg-lldb), pwndbg>, pwndbg-lldb>, (lldb)) appears in the buffer. This means:

  • Output parsing is text-scraping, not structured. Tool implementations typically return raw debugger output verbatim.
  • All I/O is non-blocking with a 30-second COMMAND_TIMEOUT. Commands that can take longer (e.g. run) need a timeout_override passed to execute_command_with_progress.
  • pwndbg is loaded via command script import "<pwndbg_path>" if a path was provided to the session; otherwise the session runs plain LLDB.

Read the full file on GitHub · 53 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. 9d ago First seen · 53 lines · 1,172 tokens per session scan A 448f085c0dfd

Subscribe to this mod's changes

pwndbg-lldb-mcp CLAUDE.md is an instructions file published in the GitHub repository Micro-Evaluation-Group/pwndbg-lldb-mcp (1 stars, last pushed 25d ago), licensed MIT. It adds 1,172 tokens to every session, about $0.0059 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens