by samuelfaj · Codex Skill · ★ 552
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 | 552 |
| Forks | 33 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 53.108/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-19 |
| Created | 2026-03-06 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~48k |
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distill is Distill large CLI outputs into small answers for LLMs and save tokens!. It is categorized as a Codex Skill with 552 GitHub stars.
distill is primarily written in TypeScript. It covers topics such as claude-code, codex, llm.
You can find installation instructions and usage details in the distill GitHub repository at github.com/samuelfaj/distill. The project has 552 stars and 33 forks, indicating an active community.