Borrowing it
Nothing to install: this file belongs to MatthewPDingle/consulting-agents-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/MatthewPDingle/consulting-agents-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/MatthewPDingle/consulting-agents-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/matthewpdingle/consulting-agents-mcp/claude-md)<a href="https://agentmods.dev/instructions/matthewpdingle/consulting-agents-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/matthewpdingle/consulting-agents-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/matthewpdingle/consulting-agents-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/matthewpdingle/consulting-agents-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 | $0.00531 | $0.00531 |
| Opus 5.5 | $0.00212 | $0.00212 |
| Sonnet 5.5 | $0.00106 | $0.00106 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade B, and why
consulting-agents-mcp CLAUDE.md scanned grade B with 2 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 2mo 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- Test Sonny: `curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Sonny","consultation_context":"Test message"}'` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Test Sonny: `curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Sonny","consultation_context":"Test message"}'` What it actually says
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
MCP Consulting Agents Development Guide
Commands
- Start server:
./start_mcp_server.sh - Debug mode:
DEBUG=true ./start_mcp_server.sh - HTTP server:
MCP_TRANSPORT=http ./start_mcp_server.sh - Run tests:
python -m pytest tests/ - Run single test:
python -m pytest tests/test_name.py::test_function - Lint:
python -m flake8 *.py - Type check:
python -m mypy *.py
API Testing (HTTP Mode)
- Test Sonny:
curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Sonny","consultation_context":"Test message"}' - Test Darren:
curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Darren","consultation_context":"Test message"}' - Test Sergey:
curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Sergey","consultation_context":"Test message","search_query":"example search"}' - Test Gemma:
curl -X POST http://localhost:5000/consult -H "Content-Type: application/json" -d '{"agent":"Gemma","consultation_context":"Test message","repo_url":"https://github.com/username/repo","feature_description":"Detailed feature description"}'
Environment Setup
- Python 3.8+ required
- Setup:
python -m venv mcp_venv && source mcp_venv/bin/activate && pip install -r requirements.txt - Configure
.envfile withOPENAI_API_KEY,ANTHROPIC_API_KEY, andGOOGLE_API_KEY
Code Style Guidelines
- Follow PEP 8 standards for Python
- Line length: 88 characters (Black formatter compatible)
- Imports order: stdlib, third-party, local (separated by blank line)
- Use type hints for all functions and parameters
- Variable naming: snake_case for variables, UPPER_CASE for constants, PascalCase for classes
- Google-style docstrings with Args/Returns sections
- Structured logging with proper levels (info/error)
- Explicit exception handling with specific error messages
- Async functions for MCP tools, synchronous for internal functions
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.
- 2mo ago First seen · 36 lines · 531 tokens per session scan B 9825b52761d3
consulting-agents-mcp CLAUDE.md is an instructions file published in the GitHub repository MatthewPDingle/consulting-agents-mcp (17 stars, last pushed 1y ago), licensed MIT. It adds 531 tokens to every session, about $0.0021 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
consulting-agents-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| consulting-agents-mcp CLAUDE.mdMatthewPDingle/consulting-agents-mcp | Instructions file | 17 | 1y ago | MIT | B | 531 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |