codex-token-usage

codex-token-usage is a skill for Codex from huajiexiewenfeng/codex-token-usage-skill. It costs 91 tokens per session (1,027 once invoked), scanned A, original, MIT.

A reporting tool that reads local Codex Desktop or command-line session logs and summarizes token usage. Tokens are the text units used to measure model input and output.

In plain words
What is it for?
Use it to audit usage for a day, week, month, or rolling period, compare usage over time, and identify the busiest day or week.
Why use it?
It replaces ad hoc log counting with a consistent report for a chosen date range and timezone. It can separate input, cached input, output, and reasoning output.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to audit usage for a day, week, month, or rolling period, compare usage over time, and identify the busiest day or week.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add huajiexiewenfeng/codex-token-usage-skill --skill codex-token-usage
Clone the repo
git clone --depth 1 https://github.com/huajiexiewenfeng/codex-token-usage-skill

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for codex-token-usage

README.md
[![agentmods](https://agentmods.dev/badge/skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage.svg)](https://agentmods.dev/skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage)
Your own site
<a href="https://agentmods.dev/skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage"><img src="https://agentmods.dev/badge/skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 30 Apr 2026
  • Snyk pass 30 Apr 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01027
Opus 5 $0.00046 $0.00513
Sonnet 5 $0.00018 $0.00205
Haiku 4.5 $0.00009 $0.00103

Measured 8d ago against content hash 026dc422796a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

codex-token-usage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/codex_token_usage.py, scripts/test_codex_token_usage.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/codex-token-usage/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Token Usage

Overview

Use the bundled script to read local Codex session logs and produce a consistent token usage report. Prefer deterministic script output over ad hoc rg summaries.

Workflow

  1. Identify the reporting window from the user request.
    • If the user asks for "one month" or "last month" without naming a calendar month, use the last 30 local calendar days ending today.
    • If the user asks for "this month" or names a specific month, use that calendar month, clipped to today if it is the current month.
    • Use the user's timezone from context when available; default to the local machine timezone only if no timezone is provided.
  2. Run scripts/codex_token_usage.py.
  3. Report results in a table with these rows: total, input, cached input, output, reasoning output, non-cached input, net usage, cache hit rate, and daily average total.
  4. Include the peak day and busiest week with exact dates.
  5. State the net usage formula.

Script

Run from the skill directory or pass an absolute script path:

python scripts/codex_token_usage.py --days 30 --timezone Asia/Shanghai

Useful options:

python scripts/codex_token_usage.py --start 2026-03-30 --end 2026-04-28 --timezone Asia/Shanghai
python scripts/codex_token_usage.py --month 2026-04 --timezone Asia/Shanghai
python scripts/codex_token_usage.py --codex-home C:\Users\admin\.codex --days 30
python scripts/codex_token_usage.py --days 30 --format json
python scripts/codex_token_usage.py --days 30 --format markdown --language en

If python is not on PATH, use the bundled Codex runtime if available:

C:\Users\admin\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe scripts\codex_token_usage.py --days 30 --timezone Asia/Shanghai

Definitions

  • total: sum of last_token_usage.total_tokens across token_count events.
  • input: sum of last_token_usage.input_tokens.
  • cached input: sum of last_token_usage.cached_input_tokens.
  • output: sum of last_token_usage.output_tokens.
  • reasoning output: sum of last_token_usage.reasoning_output_tokens.
  • non-cached input: input - cached input.
  • net usage: non-cached input + output.
  • cache hit rate: cached input / input.
  • daily average total: total / number of local calendar days in the reporting range.

Read the full file on GitHub · 87 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 87 lines · 91 tokens per session scan A 026dc422796a

Subscribe to this mod's changes

codex-token-usage is a skill published in the GitHub repository huajiexiewenfeng/codex-token-usage-skill (29 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session and 1,027 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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