context-budget
Audits OpenAI Codex context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
npx skills add mturac/everything-openai-codex --skill context-budget --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Context Budget Analyze token overhead across every loaded component in a OpenAI Codex session and surface actionable optimizations to reclaim context space. ## When to Use - Session performance feels sluggish or output quality is degrading - You've recently added many skills, agents, or MCP servers - You want to know how much context headroom you actually have - Planning to add more components and need to know if there's room - Running `/context-budget` command (this skill backs it) ## How It Works ### Phase 1: Inventory Scan all component directories and estimate token consumption: **Agents** (`agents/*.md`) - Count lines and tokens per file (words × 1.3) - Extract `description` frontmatter length - Flag: files >200 lines (heavy), description >30 words (bloated frontmatter) **Skills** (`skills/*/SKILL.md`) - Count tokens per SKILL.md - Flag: files >400 lines - Check for duplicate copies in `.agents/skills/` — skip identical copies to avoid double-counting **Rules** (`rules/**/*.md`) - Count tokens per file - Flag: files >100 lines - Detect content overlap between rule files in the same language module **MCP Servers** (`.mcp.json` or active MCP config) - Count configured servers
- When to Use
- How It Works
- Phase 1: Inventory
- Phase 2: Classify
- Phase 3: Detect Issues
- Phase 4: Report
- Examples
- Best Practices
What does the context-budget skill do?
Audits OpenAI Codex context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill context-budget --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.