lemma-platform CLAUDE.md

lemma-platform CLAUDE.md is an instructions file for coding agents from lemma-work/lemma-platform. It costs 302 tokens per session, scanned A, original, AGPL-3.0.

Repository-specific instructions for Claude Code, an AI coding assistant, in the lemma-work/lemma-platform project.

In plain words
What is it for?
Use them when changing this repository or running its Python code.
Why use it?
They provide project guidance and specify that Python commands should be run through uv, a tool for managing Python environments and dependencies.

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/lemma-work/lemma-platform/claude-md
Clone the repo
git clone --depth 1 https://github.com/lemma-work/lemma-platform

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 lemma-platform CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lemma-work/lemma-platform/claude-md.svg)](https://agentmods.dev/instructions/lemma-work/lemma-platform/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/lemma-work/lemma-platform/claude-md"><img src="https://agentmods.dev/badge/instructions/lemma-work/lemma-platform/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 302 This file is loaded in full into every session.
When invoked 302 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00302 $0.00302
Opus 5 $0.00151 $0.00151
Sonnet 5 $0.00060 $0.00060
Haiku 4.5 $0.00030 $0.00030

Measured 4d ago against content hash e1bd36a9b9d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lemma-platform 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 4d 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.

CLAUDE.md · 29 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 4d ago First seen · 29 lines · 302 tokens per session scan A e1bd36a9b9d3

Subscribe to this mod's changes

lemma-platform CLAUDE.md is an instructions file published in the GitHub repository lemma-work/lemma-platform (387 stars, last pushed today), licensed AGPL-3.0. It adds 302 tokens to every session, about $0.0015 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 2026-08-30.