by vincentkoc · Codex Skill · ★ 452
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tokenjuice 🧃 lean output compaction for terminal-heavy agent workflows. what it does an agent or harness calls noisy tools like , , , , or . tokenjuice sits in front of that tool call, runs it, trims the fat from the output, and passes back a much cleaner result to the harness. the important bit is the boundary: the original command still runs tokenjuice compacts the observed output after execution / gives you an explicit unaltered escape hatch when you need it raw output can be stored locally when you explicitly ask for it the harness gets a smaller, more useful payload instead of a wall of terminal junk install then: why tool output wastes absurd amounts of context. your llm needs a diet. tokenjuice compacts observed output after execution, gives hosts a boring, deterministic summary by default, and only stores raw output when you explicitly ask for it. goals library first, not framework-locked JSON rules for parseability and inspection explicit and modes file-backed artifacts that a
| Stars | 452 |
| Forks | 46 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.5936742445923/100 |
| Last Updated | 2026-06-18 |
| Created | 2026-04-14 |
| Platforms | cli, node |
| Est. Tokens | ~15k |
These tools work well together with tokenjuice for enhanced workflows:
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tokenjuice is 🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks.. It is categorized as a Codex Skill with 452 GitHub stars.
tokenjuice is primarily written in TypeScript. It covers topics such as openclaw-plugin, optimization, token.
You can find installation instructions and usage details in the tokenjuice GitHub repository at github.com/vincentkoc/tokenjuice. The project has 452 stars and 46 forks, indicating an active community.
tokenjuice is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tokenjuice on Agent Skills Hub include memory-lancedb-pro, secure-openclaw, clawsec. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.