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cozempic

Skill Communication Usable

Context cleaning for Claude Code — prune bloated sessions, protect Agent Teams from context loss, auto-guard with tiered pruning

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

Prevents Claude Code sessions from accumulating irrelevant context that slows inference and increases costs. Tiered pruning rules let teams retain critical data while systematically removing noise.

Teams running long-lived Claude agents or multi-turn code sessions where context window bloat causes latency spikes or token waste.

Claude Code Claude Cowork Claude Chat

https://github.com/Ruya-AI/cozempic

By Ruya-AI

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 Ruya-AI/cozempic

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

CostFree

Trust Signals Auto-scanned

Stars305Last updated2026-05-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

41 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 305 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 305 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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