rlang-mcp-python CLAUDE.md

rlang-mcp-python CLAUDE.md is an instructions file for coding agents from saidsurucu/rlang-mcp-python. It costs 3,196 tokens per session, scanned A, original, no licence file.

A project instruction file for Claude Code, an AI coding assistant, working on the rlang-mcp-python project. It covers setup, configuration, environment variables, and protection of sensitive personal data.

In plain words
What is it for?
Use it when setting up the project’s desktop MCP connection, configuring options, or checking its privacy requirements.
Why use it?
It collects the project rules needed to configure the server correctly and avoid exposing private information.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/saidsurucu/rlang-mcp-python/claude-md
Clone the repo
git clone --depth 1 https://github.com/saidsurucu/rlang-mcp-python

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 rlang-mcp-python CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/saidsurucu/rlang-mcp-python/claude-md.svg)](https://agentmods.dev/instructions/saidsurucu/rlang-mcp-python/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/saidsurucu/rlang-mcp-python/claude-md"><img src="https://agentmods.dev/badge/instructions/saidsurucu/rlang-mcp-python/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,196 This file is loaded in full into every session.
When invoked 3,196 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.03196 $0.03196
Opus 5 $0.01598 $0.01598
Sonnet 5 $0.00639 $0.00639
Haiku 4.5 $0.00320 $0.00320

Measured 3d ago against content hash ff65e7036701, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rlang-mcp-python CLAUDE.md scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Prevents data exfiltration via `download.file()`, `curl`, `url()` etc.
CLAUDE.md · 358 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 358 lines · 3,196 tokens per session scan A ff65e7036701

Subscribe to this mod's changes

rlang-mcp-python CLAUDE.md is an instructions file published in the GitHub repository saidsurucu/rlang-mcp-python (18 stars, last pushed 5mo ago), with no licence file. It adds 3,196 tokens to every session, about $0.0160 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.