C

ctx-stats

VERIFIED

by community

No community reviews yet
143,890,500installs
Updated Sep 2026

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Description

# Context Mode Stats Show context savings for the current session. ## Instructions 1. Call the `mcp__context-mode__ctx_stats` MCP tool (no parameters needed). 2. **CRITICAL**: You MUST copy-paste the ENTIRE tool output as markdown text directly into your response message. Do NOT summarize, do NOT collapse, do NOT paraphrase. The user must see the full tables without pressing ctrl+o. Copy every line exactly as returned by the tool. 3. After the full output, add ONE sentence highlighting the key savings metri

Install ctx-stats

Run this in your OpenClaw agent to add ctx-stats from the ClawHub registry.

terminal
$openclaw skills install ctx-stats

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is ctx-stats safe to install?

ctx-stats has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does ctx-stats cost?

ctx-stats is free to install for OpenClaw via ClawHub.

What are the best alternatives to ctx-stats?

You can compare ctx-stats side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install ctx-stats?

Install ctx-stats from ClawHub at clawhub.ai/skills/ctx-stats, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateSep 17, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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