nalyze Codex system prompt token footprint for the current session. Use when the user asks to inspect prompt structure, loaded skills, MCP servers, built-in tools, Codex Apps connectors, model-visible
View on GitHub ↗Analyze the system-level prompt footprint of a Codex session.
This skill helps inspect what is taking up prompt space before the user's conversation history, including built-in tools, MCP tools, Codex Apps connectors, available skills metadata, AGENTS.md files, and optional live-session tool overlays.
Use it when you want to answer questions such as:
- Which tools or skills are consuming the most tokens? - Are MCP servers or Codex Apps connectors adding large schemas? - Is the available skills list larger than expected? - What would be worth disabling for this project? - Does the current prompt composition match the live session?
From a project that contains this skill:
Set SKILLDIR to the actual codex-analysis skill directory for your installation. It may be under .agents/skills, $CODEXHOME/skills, or another configured skill root.
To render and open the dashboard in your default browser:
If the conservative pass reports no suggestions but you still want to reduce prompt footprint, rerun with relaxed review candidates:
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/chenkumi--codex-prompt-analysis.html)
Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
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