context-budget

Audit token consumption across agents, skills, MCP servers, and rules.

3|Updated Mar 17, 2026

Search Tags:#context #optimization #audit #metrics #reporting #token #ai-ops

Ready to run

npx skills add https://github.com/idiaz01/enterprise-superpowers --skill context-budget-idiaz01

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-budget
Source: https://github.com/idiaz01/enterprise-superpowers/tree/main/content/skills/context-budget
Command: npx skills add https://github.com/idiaz01/enterprise-superpowers --skill context-budget-idiaz01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audit token consumption across agents, skills, MCP servers, and rules to identify optimization opportunities.

Core Features & Use Cases

Inventory token usage across skills, agents, MCP servers, and rules
Classify components by necessity to optimize token footprint
Detect issues like bloated descriptions, redundant components, and MCP over-subscription
Generate actionable recommendations and a prioritized plan for token optimization

Quick Start

Run a token-usage audit to identify and prune token-hogging components.

Frequently Asked Questions about context-budget

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

FAQPage Schema

How do I audit token consumption across AI agents and MCP servers?▼

Auditing token consumption involves inventorying all active agents, skills, MCP servers, and rules to classify usage and detect bloated descriptions or over-subscriptions. This generates a structured report with prioritized mitigations to reduce context overhead.

What causes high token waste with many installed skills and complex tasks?▼

Token waste typically stems from redundant components, bloated descriptions, and MCP over-subscription. When managing complex tasks, unnecessary context overhead accumulates across active rules, requiring a classification audit to identify and prune non-essential elements.

How do I optimize token footprint for rules and agents during periodic maintenance?▼

To optimize token footprint, run an audit to inventory components and classify them by necessity. This detects bloated descriptions and redundant rules, producing an actionable plan to prune token-hogging components and streamline context overhead.

Can I identify MCP over-subscription issues across my AI agents?▼

Yes, MCP over-subscription is detected by auditing token usage across servers and agents. The audit classifies components by necessity, identifies excessive subscriptions, and provides recommendations to reduce unnecessary context overhead.

What is the best way to generate a prioritized plan for token optimization?▼

The best way to generate a prioritized optimization plan is to audit token consumption and classify components by necessity. This detects issues like bloated descriptions and redundant rules, yielding a structured report with actionable mitigations.

When should I run a token-usage audit to reduce context overhead?▼

You should run a token-usage audit during periodic maintenance or when managing complex tasks with many installed skills. It inventories components, detects redundant rules and MCP over-subscriptions, and recommends mitigations to cut token waste.