Borrowing it
Nothing to install: this file belongs to sjkim1127/Reversecore_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/sjkim1127/Reversecore_MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/sjkim1127/Reversecore_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/sjkim1127/reversecore_mcp/agents-md)<a href="https://agentmods.dev/instructions/sjkim1127/reversecore_mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sjkim1127/reversecore_mcp/agents-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/sjkim1127/reversecore_mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sjkim1127/reversecore_mcp/agents-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 | $0.02574 | $0.02574 |
| Opus 5.5 | $0.01030 | $0.01030 |
| Sonnet 5.5 | $0.00515 | $0.00515 |
| Haiku 4.5 | $0.00257 | $0.00257 |
Grade A, and why
Reversecore_MCP AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Customizations for Reversecore_MCP
This guide helps AI agents understand the codebase structure and be immediately productive.
Project Overview
Reversecore_MCP is an enterprise-grade MCP (Model Context Protocol) server for AI-powered reverse engineering. It enables AI agents to perform comprehensive binary analysis through natural language commands using Radare2, r2ghidra, and other industry-standard tools.
- Language: Python 3.10+
- Framework: FastMCP 2.13.1+
- Architecture: Layered (Prompts → Tools → Core Infrastructure → External Tools)
- Test Coverage: 55%+ with 700+ tests
- Key External Dependencies: Radare2 (disassembly/emulation), YARA (detection)
Quick Commands
Development Setup
# Create virtual environment
python -m venv venv
source venv/bin/activate # Linux/macOS
venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt
# Install pre-commit hooks (enforces code standards)
pre-commit install
Building & Running
# Start MCP server (development mode)
python server.py
# Docker (auto-detects architecture: Intel/ARM)
docker compose --profile x86 up -d # Intel/AMD
docker compose --profile arm64 up -d # Apple Silicon
./scripts/run-docker.sh # Auto-detect
# Install external tools
./scripts/install-ghidra.sh # Linux/macOS
.\scripts\install-ghidra.ps1 # Windows
Testing
# All tests (generates coverage report)
pytest tests/ -v
# Unit tests only
pytest tests/unit/ -v
# Integration tests
pytest tests/integration/ -v
# Specific test with coverage
pytest tests/unit/test_cli_tools.py::TestRunFile::test_success -v
# Check coverage threshold (must exceed 54%)
pytest --cov-report=term-missing
Code Quality
# Lint with Ruff
ruff check reversecore_mcp/
# Format with Black
black reversecore_mcp/
# Sort imports with isort
isort reversecore_mcp/
# Auto-fix all issues
ruff check --fix reversecore_mcp/
black reversecore_mcp/
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 Changed · +11 tokens per session 46457c23b957
- 1mo ago First seen · 329 lines · 2,563 tokens per session scan A 6ae904e1d81e
Reversecore_MCP AGENTS.md is an instructions file published in the GitHub repository sjkim1127/Reversecore_MCP (213 stars, last pushed 5d ago), licensed MIT. It adds 2,574 tokens to every session, about $0.0103 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.