📡 MCP Radar

chenkumi/codex-prompt-analysis

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

3 stars
0 forks
Python
momentum ▲ 6.0
created 2026-07-08
on radar since 2026-07-10
View on GitHub ↗

About codex-prompt-analysis

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.

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