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squeez

Skill Development Usable

Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.

97 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces token consumption in AI CLI workflows by up to 95%, directly lowering API costs and latency for code generation and analysis at scale.

Engineering teams using Claude, Copilot, or other AI CLIs who need to process large codebases or repetitive bash scripts without exhausting token budgets.

Claude Code Claude Cowork Claude Chat

https://github.com/claudioemmanuel/squeez

By claudioemmanuel

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install claudioemmanuel/squeez

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars97Contributors5Last updated2026-04-22LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-25 · scanner v1

Community Pulse Emerging

Discussed on Reddit

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 97 GitHub stars; 5 contributors; last commit 28d ago; license Apache-2.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
4/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 97 GitHub stars; 5 contributors; last commit 28d ago; license Apache-2.0.

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