codex-usage-tracker

by douglasmonskyVerified

Local-first MCP tools and dashboard for investigating Codex token usage, credits, costs, caching, and thread patterns.

195
Stars
18
Forks
Python
Language
8/23/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/douglasmonsky/codex-usage-tracker

Getting Started

Guides for using skills like codex-usage-tracker.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Codex Usage Tracker

PyPI Python CI License

Codex Usage Tracker is a local usage-data product for answering questions about how Codex work consumes tokens, time, tools, allowance, credits, and cost. It turns local session metadata into exact, bounded facts and stable evidence that an agent can explore and explain.

Current release and next direction

Version 0.28.0 is the current public release. Its six-tool MCP surface, Evidence Console, and SQLite kernel remain supported while the replacement is qualified.

The next product is a clean, agent-first kernel rather than a larger dashboard:

  • fast recent-history setup with explicit 24-hour through all-time coverage;
  • incremental reuse on every later invocation;
  • exact session, turn, call, tool, resource, allowance, token, credit, and cost facts;
  • compact named queries and stable evidence selectors;
  • agent-owned interpretation instead of server-authored narrative findings;
  • installed Codex qualification measured for latency, MCP calls, response bytes, model tokens, accuracy, and usefulness.

The 0.28 code remains a frozen oracle during the rewrite and is removed before the clean replacement release. The new runtime does not migrate or open its database.

Start with the documentation authority, read the product direction, or follow the clean-cutover roadmap. Progress is tracked in the checkbox ledger, with one complete contract per file under docs/roadmap/tasks/.

Install 0.28.0

Install the Python runtime into an isolated executable environment, then add the matching tagged repository as a Codex plugin marketplace:

pipx install "codex-usage-tracking==0.28.0"
codex plugin marketplace add douglasmonsky/codex-usage-tracker --ref v0.28.0
codex plugin add codex-usage-tracker@codex-usage-tracker

The plugin launches the codex-usage-tracker executable from the pipx environment. Start a fresh Codex task after installation so it discovers the new plugin tool catalog.

Develop

python3 -m venv .venv
.venv/bin/python -m pip install -e ".[dev]"
just v

Use synthetic fixtures only. Do not commit or share real Codex logs, prompts, responses, tool-output bodies, credentials, private paths, or local databases.

Frequently Asked Questions

What is codex-usage-tracker?

codex-usage-tracker is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by douglasmonsky. Local-first MCP tools and dashboard for investigating Codex token usage, credits, costs, caching, and thread patterns. It has 195 GitHub stars.

Is codex-usage-tracker safe to use?

Yes. codex-usage-tracker passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install codex-usage-tracker?

Clone the repository with "git clone https://github.com/douglasmonsky/codex-usage-tracker" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is codex-usage-tracker written in?

codex-usage-tracker is primarily written in Python. It is open-source under douglasmonsky on GitHub, so you can review or fork the full source.

Are there alternatives to codex-usage-tracker?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh codex-usage-tracker against similar tools.

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