codex-usage-tracker

作者 douglasmonsky已验证

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

195
Stars
18
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

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

快速入门

使用 codex-usage-tracker 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "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.

常见问题

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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