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.
npx skills add huajiexiewenfeng/codex-token-usage-skill --skill codex-token-usagegit clone --depth 1 https://github.com/huajiexiewenfeng/codex-token-usage-skillWrote 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.
[](https://agentmods.dev/skills/huajiexiewenfeng/codex-token-usage-skill/codex-token-usage)<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>- Socket pass
- Snyk pass
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.
| Model | Per session | Once 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 |
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.
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.
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
- 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.
- Run
scripts/codex_token_usage.py. - 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.
- Include the peak day and busiest week with exact dates.
- 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 oflast_token_usage.total_tokensacrosstoken_countevents.input: sum oflast_token_usage.input_tokens.cached input: sum oflast_token_usage.cached_input_tokens.output: sum oflast_token_usage.output_tokens.reasoning output: sum oflast_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.
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.
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.
- 8d ago First seen · 87 lines · 91 tokens per session scan A 026dc422796a
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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