rtk is a command-line proxy that filters and compresses output from development commands before it reaches an LLM's context. It is used with coding agents to reduce the tokens consumed by commands such as Git operations. The catalogue includes skills, commands, agents, and instructions for using rtk in agent workflows.
Borrowing it
Nothing to install: this file belongs to rtk-ai/rtk. 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/rtk-ai/rtk/develop/CLAUDE.mdgit clone --depth 1 https://github.com/rtk-ai/rtkWrote 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/rtk-ai/rtk/claude-md)<a href="https://agentmods.dev/instructions/rtk-ai/rtk/claude-md"><img src="https://agentmods.dev/badge/instructions/rtk-ai/rtk/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/rtk-ai/rtk/claude-md"><img src="https://agentmods.dev/badge/instructions/rtk-ai/rtk/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 | $0.02339 | $0.02339 |
| Opus 5.5 | $0.00936 | $0.00936 |
| Sonnet 5.5 | $0.00468 | $0.00468 |
| Haiku 4.5 | $0.00234 | $0.00234 |
Grade A, and why
rtk 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 13d 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.
rtk bypass curl https://api.example.com/data # Any command works How it starts
The opening of the file, as written. The whole thing — 203 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
rtk (Rust Token Killer) is a high-performance CLI proxy that minimizes LLM token consumption by filtering and compressing command outputs. It reduces bash output on common development operations (each filter must cut at least 20%; most cut far more) through smart filtering, grouping, truncation, and deduplication. All percentages in this repo measure bash output, not your bill. RTK ships no tokenizer (src/core/tracking.rs estimates tokens as bytes / 4), so the ratios are reliable but the absolute token counts are approximate.
Name Collision Warning
Two different "rtk" projects exist:
- This project: Rust Token Killer (rtk-ai/rtk)
- reachingforthejack/rtk: Rust Type Kit (DIFFERENT - generates Rust types)
Verify correct installation:
rtk --version # Any current version; the check that matters is the next line
rtk gain # Should show token savings stats (NOT "command not found")
If rtk gain fails, you have the wrong package installed.
Development Commands
Note: If rtk is installed, prefer
rtk <cmd>over raw commands for token-optimized output. All commands work with passthrough support even for subcommands rtk doesn't specifically handle.
Build & Run
cargo build # raw
rtk cargo build # preferred (token-optimized)
cargo build --release # release build (optimized)
cargo run -- <command> # run directly
cargo install --path . # install locally
Testing
cargo test # all tests
rtk cargo test # preferred (token-optimized)
cargo test <test_name> # specific test
cargo test <module_name>:: # module tests
cargo test -- --nocapture # with stdout
bash scripts/test-all.sh # smoke tests (installed binary required)
Linting & Quality
cargo check # check without building
cargo fmt # format code
cargo clippy --all-targets # all clippy lints
rtk cargo clippy --all-targets # preferred
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.
- 13d ago Changed · +31 lines · +504 tokens per session 087740bb35d2
- 1mo ago First seen · 172 lines · 1,835 tokens per session scan A f9ca5f7d7925
rtk CLAUDE.md is an instructions file published in the GitHub repository rtk-ai/rtk (84,655 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,339 tokens to every session, about $0.0094 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.