No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by The-Distillery-dev · Claude Skill · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is thedistillery safe to install? View the security audit →
The Distillery Cut your input tokens before they reach the model. The Distillery is a local token-optimization proxy for AI coding tools. It sits between your coding agent and the model API, removes redundant input context, and reports the overall input reduction across your sessions. It is built for developers who want lower model bills without prompt rewriting, workflow changes, or sending code to The Distillery's hosted service for optimization. Install Requires Node.js . Quick Start binds to by default and automatically configures Claude Code routing. For other clients, point the tool at the local Anthropic or OpenAI-compatible endpoint shown below. What It Does The Distillery optimizes request input before it reaches the upstream model API: Deduplication - removes identical tool outputs already seen in the session. Tool output distillation - trims oversized shell, search, diff, and file outputs while prese
| Stars | 114 |
| Forks | 15 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 48.548669646751/100 |
| Last Updated | 2026-07-12 |
| Created | 2026-07-05 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~10k |
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thedistillery is The Distillery. A Token Optimization Proxy. It is categorized as a Claude Skill with 114 GitHub stars.
thedistillery is primarily written in TypeScript. It covers topics such as anthropic, claude, claude-code.
You can find installation instructions and usage details in the thedistillery GitHub repository at github.com/The-Distillery-dev/thedistillery. The project has 114 stars and 15 forks, indicating an active community.
The top alternatives to thedistillery on Agent Skills Hub include llmtrim, prompt-caching, omni. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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