codex-token-usage

codex-token-usage is a skill for Codex from huajiexiewenfeng/codex-token-usage-skill. It costs 53 tokens per session (1,810 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.

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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/github.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/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for codex-token-usage

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,810 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 16 Sept 2026
  • Snyk pass 16 Sept 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 $0.00053 $0.01810
Opus 5.5 $0.00021 $0.00724
Sonnet 5.5 $0.00011 $0.00362
Haiku 4.5 $0.00005 $0.00181

Measured 1mo ago against content hash d50bfaa11305, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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 · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 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.

Default: generate the fixed HTML dashboard and open it in the system's default external browser. This also applies to plain requests such as “统计本周用量” or “统计下 token”. Do not answer with only a Markdown table unless the user explicitly requests text, Markdown, JSON, or no browser. Re-read this installed file when reusing an old task; earlier task instructions may describe the old Markdown default.

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.
    • “This week” means Monday through today in that timezone; pass explicit --start and --end dates.
  2. Run the installed scripts/codex_token_usage.py from the user's workspace with the reporting dates and timezone. Resolve the script from the skill directory containing this file. Use the active CODEX_HOME for logs when present; do not infer log location from a legacy skill installation path.
  3. Unless explicitly overridden, use HTML (the CLI default). The script writes output/token-usage-<start>-<end>.html under the working directory and requests the system's default external browser to open it. --output overrides the file path. Keep reports outside the skill source directory.
  4. Do not substitute an in-app browser preview. If opening fails or is blocked, provide the saved file link and accurately state that it was not opened; do not bypass host restrictions. A successful OS launch request alone is not evidence that the page rendered.
  5. Return a clickable absolute HTML file link, exact date range and a short summary. The dashboard contains daily counts, peak periods and metric definitions; do not replace it with a long Markdown table.
  6. For explicit text/Markdown requests, pass --format markdown; for machine-readable requests, pass --format json. These formats print to stdout unless --output is provided and do not open a browser. For automation or a user request not to open a browser, use --no-open with HTML.

Read the full file on GitHub · 107 lines

Files

What ships with it

4 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. 1mo ago Changed · +20 lines · -38 tokens per session d50bfaa11305
  2. 1mo 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 (31 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,810 once invoked, about $0.0002 per session on Opus 5.5. 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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