Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/stackloklabs/plotting-mcp/claude-mdgit clone --depth 1 https://github.com/StacklokLabs/plotting-mcpWhat 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 | $0.00210 | $0.00210 |
| Opus 5 | $0.00105 | $0.00105 |
| Sonnet 5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
plotting-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 2d 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.
What it actually says
Project Overview
- The project is focused on having an MCP server producing custom plots using as main library seaborn
- The MCP server takes as input CSV data, plot type and kwargs plotting parameters
Project Structure
- MCP server logic is located in: src/plotting_mcp/server.py
- Plotting logic is located in: src/plotting_mcp/plot.py
Development Best Practices
- After significant code changes run
make formatandmake typecheckto make sure the code follows best practices
Code Maintenance Guidelines
- When there is a new plot type added in plot.py we need to update the mcp tool in server.py
Dependency Management
- This project uses uv for managing dependencies. In case you need to add a dependency use the command
uv add <dependency> - If the dependency is for developing, e.g. for testing use
uv add <dependency> --dev - All of the configuration of the project should be centralized in the pyproject.toml file
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.
- 2d ago First seen · 18 lines · 210 tokens per session scan A 43cc6813d210
plotting-mcp CLAUDE.md is an instructions file published in the GitHub repository StacklokLabs/plotting-mcp (10 stars, last pushed 13d ago), licensed Apache-2.0. It adds 210 tokens to every session, about $0.0011 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.
Other instructions, from other repositories
cnsplots AGENTS.md
Instructions for faridrashidi/cnsplots, covering agents.md, working branch rules, implementation rules, validation rules and commit rules.
origin-mcp AGENTS.md
Instructions for Ge-Shun/origin-mcp, covering development and debugging rules and origin start/stop app.
curb CLAUDE.md
Instructions for alevizio/curb, covering curb — sf street parking, block by block, what it is, stack (intentionally minimal), spatial queries (verified working) and key product decisions / constraints (don't regress these).
curb AGENTS.md
Instructions for alevizio/curb, covering curb — sf street parking, block by block, what it is, stack (intentionally minimal), spatial queries (verified working) and key product decisions / constraints (don't regress these).
tarkov-map AGENTS.md
Instructions for QTtrash/tarkov-map, covering agent guide, start here, non-negotiable invariants and working loop.
nice-figures AGENTS.md
Instructions for Mapika/nice-figures, covering nice-figures — instructions for ai agents, get the style helper, or copy the single file (matplotlib + numpy only), workflow and hard rules of the register.