rlm-rs CLAUDE.md

rlm-rs CLAUDE.md is an instructions file for coding agents from zircote/rlm-rs. It costs 1,656 tokens per session, scanned A, original, MIT.

Project instructions for a Rust software library, including its folder layout and the commands used to build, test, format, lint, benchmark, document, and check it.

In plain words
What is it for?
Useful for modifying Rust source code, running targeted or full tests, checking formatting and lints, generating documentation, and detecting undefined behavior or dependency risks.
Why use it?
They give an AI coding agent the conventions and verification commands needed to make safe changes in a Rust project.

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/zircote/rlm-rs/claude-md
Clone the repo
git clone --depth 1 https://github.com/zircote/rlm-rs

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 rlm-rs CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/zircote/rlm-rs/claude-md.svg)](https://agentmods.dev/instructions/zircote/rlm-rs/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/zircote/rlm-rs/claude-md"><img src="https://agentmods.dev/badge/instructions/zircote/rlm-rs/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,656 This file is loaded in full into every session.
When invoked 1,656 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.01656 $0.01656
Opus 5 $0.00828 $0.00828
Sonnet 5 $0.00331 $0.00331
Haiku 4.5 $0.00166 $0.00166

Measured 5d ago against content hash e1bd944a1692, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rlm-rs 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 5d 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 · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 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.

Project Overview

rlm_rs is a Rust crate built with modern tooling, strict type safety, and zero-cost abstractions.

Project Structure

src/
├── lib.rs           # Library entry point and public API
├── main.rs          # Binary entry point (optional)
├── error.rs         # Error types (if separated)
└── ...              # Additional modules

tests/
└── integration_test.rs  # Integration tests

benches/              # Benchmarks (with criterion)
examples/             # Example programs

Build Commands

This project uses Cargo as the build system.

# Build the project
cargo build

# Build with optimizations
cargo build --release

# Run tests
cargo test

# Run tests with output
cargo test -- --nocapture

# Run specific test
cargo test test_name

# Run benchmarks
cargo bench

# Run linting
cargo clippy --all-targets --all-features

# Format code
cargo fmt

# Check formatting
cargo fmt -- --check

# Generate documentation
cargo doc --open

# Check supply chain security
cargo deny check

# Run with MIRI (undefined behavior detection)
cargo +nightly miri test

# Run all checks (lint + format + test + doc + deny)
cargo fmt -- --check && cargo clippy --all-targets --all-features -- -D warnings && cargo test && cargo doc --no-deps && cargo deny check

Code Style Requirements

This project uses clippy with pedantic and nursery lints, and rustfmt for formatting.

Key Rules

  • Line length: 100 characters
  • Edition: 2024
  • MSRV: 1.95
  • Unsafe code: Forbidden unless explicitly justified
  • Panics: Not allowed in library code (unwrap, expect, panic!)

Error Handling

Always use Result types for fallible operations. Never panic in library code:

// Good - Returns Result
pub fn parse(input: &str) -> Result<Value, ParseError> {
    if input.is_empty() {
        return Err(ParseError::EmptyInput);
    }
    // parsing logic
    Ok(value)
}

// Bad - Panics
pub fn parse(input: &str) -> Value {
    input.parse().unwrap() // Never do this in library code
}

Read the full file on GitHub · 297 lines

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. 5d ago First seen · 297 lines · 1,656 tokens per session scan A e1bd944a1692

Subscribe to this mod's changes

rlm-rs CLAUDE.md is an instructions file published in the GitHub repository zircote/rlm-rs (59 stars, last pushed 5d ago), licensed MIT. It adds 1,656 tokens to every session, about $0.0083 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.