Borrowing it
Nothing to install: this file belongs to Taardisaa/ghidra-api-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/Taardisaa/ghidra-api-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Taardisaa/ghidra-api-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/taardisaa/ghidra-api-mcp/claude-md)<a href="https://agentmods.dev/instructions/taardisaa/ghidra-api-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/taardisaa/ghidra-api-mcp/claude-md.svg" alt="Measured on agentmods" 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 | $0.00882 | $0.00882 |
| Opus 5 | $0.00441 | $0.00441 |
| Sonnet 5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
ghidra-api-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 7d 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 — 78 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.
Commands
# Install (dev mode)
.venv/bin/pip install -e ".[dev]"
# Run all tests
.venv/bin/pytest -v
# Run a single test file
.venv/bin/pytest tests/test_extractor.py -v
# Lint / format
.venv/bin/ruff check src/ tests/
.venv/bin/ruff format src/ tests/
# Build the ChromaDB index (requires Ghidra source)
ghidra-api-mcp-admin build-index --ghidra-path /path/to/ghidra
ghidra-api-mcp-admin build-index --max-files 100 # quick test run
# Query the index without MCP (mirrors MCP tools)
ghidra-api-mcp-admin inspect info
ghidra-api-mcp-admin inspect workflows "decompile a function"
ghidra-api-mcp-admin inspect api-doc DecompInterface
ghidra-api-mcp-admin inspect related DecompInterface
# Clear the index
ghidra-api-mcp-admin clear-index
# Run MCP server
python -m ghidra_api_mcp
Architecture
Pipeline (offline, one-time):
Collect Java files → Parse AST (tree-sitter) → Extract call chains → Index (ChromaDB)
Serve (at query time via MCP):
Natural-language query → Semantic search ChromaDB → Return ranked workflow chains
Source layout: src/ghidra_api_mcp/
| Module | Role |
|---|---|
server.py |
FastMCP server exposing 6 tools: initialize_index, get_index_info, clear_index, get_workflows, get_api_doc, list_related_apis |
pipeline.py |
Shared index-build pipeline used by both CLI and initialize_index MCP tool |
cli.py |
Click CLI: build-index, clear-index, serve, inspect info|workflows|api-doc|related |
config.py |
Scan directories, trust levels, GhidraScript field definitions |
collector/ghidra_source.py |
Enumerate Java files; build known Ghidra class name set |
parser/java_parser.py |
tree-sitter Java → imports, method bodies, superclass |
extractor/call_chain.py |
Identify Ghidra API calls; build data-flow edges between calls |
extractor/models.py |
ApiCall, DataFlowEdge, Workflow, TrustLevel |
indexer/store.py |
Ingest workflows into ChromaDB (two collections: workflows + API classes) |
indexer/search.py |
WorkflowSearcher: semantic search with trust-level re-ranking |
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.
- 7d ago First seen · 78 lines · 882 tokens per session scan A 2513e5adf091
ghidra-api-mcp CLAUDE.md is an instructions file published in the GitHub repository Taardisaa/ghidra-api-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 882 tokens to every session, about $0.0044 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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