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check-context

Check AI context window usage and token consumption from runtime status files.

Updated Mar 26, 2026
Search Tags:#context#monitoring#codex#claude#runtime#tokens
One-click install
npx skills add https://github.com/Masterleeaus/zero --skill check-context-masterleeaus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-context
Source: https://github.com/Masterleeaus/zero/tree/main/CodeToUse/_Quarantine/AI_aicore_AICores_duplicate/zylos-core-main/skills/check-context
Command: npx skills add https://github.com/Masterleeaus/zero --skill check-context-masterleeaus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users understand current AI context window usage, token consumption, and session resource levels when they need visibility into runtime limits.

Core Features & Use Cases

  • Context Monitoring: Checks active runtime information to report context usage, remaining capacity, and token statistics.
  • Runtime Support: Handles context reporting for different AI environments by reading the appropriate runtime status data.
  • Use Case: Use this Skill when managing long conversations or debugging context limits to determine whether a session is approaching its token threshold.

Quick Start

Ask the AI to check the current context usage and report the remaining token capacity.

Frequently Asked Questions about check-context

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor AI context window usage and token consumption?▼

You can monitor context window usage by reading local runtime status files and session metadata to calculate token consumption and report remaining capacity. This provides visibility into active session limits and resource thresholds.

What is the best way to check remaining token capacity in a long AI conversation?▼

To check remaining token capacity in a long conversation, read active runtime information to report context usage and token statistics. This helps determine whether a session is approaching its token threshold.

Does context monitoring work across different AI runtimes like Codex and Claude?▼

Yes, context monitoring works across different AI runtimes like Codex and Claude by reading the appropriate runtime status data. It calculates usage percentages specific to each supported runtime.

When do I need to check context limits and session capacity?▼

Check context limits and session capacity when managing long conversations or debugging context limits to determine whether a session is approaching its token threshold and requires resource optimization.

Do I need local runtime status files to calculate token utilization?▼

Yes, calculating token utilization requires access to local runtime status files and session metadata to compute usage percentages and report resource thresholds accurately for the active session.

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