by samuelfaj · Codex Skill · ★ 683
distill Agent command outputs are one of the biggest sources of token waste. Logs, test results, stack traces… thousands of tokens sent to an LLM just to answer a simple question. 🔥 compresses command outputs into only what the LLM actually needs. Save up to 99% of tokens without losing the signal. How to use You can also point at OpenAI-compatible providers such as LM Studio, Jan, LocalAI, vLLM, SGLang, llama.cpp-compatible servers, MLX-based servers, and Docker Model Runner.
| Stars | 683 |
| Forks | 44 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.2645436039819/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-06 |
| Platforms | claude-code, codex, rust |
| Est. Tokens | ~23k |
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distill is Get FAR MORE done with FAR FEWER tokens 🔥. It is categorized as a Codex Skill with 683 GitHub stars.
distill is primarily written in Rust. It covers topics such as claude-code, codex, grok.
You can find installation instructions and usage details in the distill GitHub repository at github.com/samuelfaj/distill. The project has 683 stars and 44 forks, indicating an active community.
distill is released under the Apache-2.0 license, making it free to use and modify according to the license terms.