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model-usage

model-usage is a skill for Claude Code, Codex from MerkyorLynn/Lynn. It costs 69 tokens per session (525 once invoked), scanned A, a copy of model-usage, Apache-2.0.

A command-line helper for summarizing Codex or Claude usage costs by model from CodexBar data. It can show the current model or a complete model breakdown.

In plain words
What is it for?
Use it to calculate current or all-model summaries from CodexBar JSON, including data supplied through a file or standard input.
Why use it?
It makes model-level usage and cost data easier to inspect than reading raw cost logs.

Skill for Claude CodeCodex

not rated 40 3d ago A scan 69 tokens copy · 83% Apache-2.0
View the source file MerkyorLynn/Lynn
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.

agentmods
npx agentmods add skills/merkyorlynn/lynn/model-usage
Any agent
npx skills add MerkyorLynn/Lynn --skill model-usage
Clone the repo
git clone --depth 1 https://github.com/MerkyorLynn/Lynn

Made for: Claude Code, 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 model-usage

README.md
[![agentmods](https://agentmods.dev/badge/skills/merkyorlynn/lynn/model-usage.svg)](https://agentmods.dev/skills/merkyorlynn/lynn/model-usage)
Your own site
<a href="https://agentmods.dev/skills/merkyorlynn/lynn/model-usage"><img src="https://agentmods.dev/badge/skills/merkyorlynn/lynn/model-usage.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 525 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 83% copy Near-identical to another mod 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 $0.00069 $0.00525
Opus 5 $0.00034 $0.00262
Sonnet 5 $0.00014 $0.00105
Haiku 4.5 $0.00007 $0.00052

Measured 5d ago against content hash 70e8c1c96f7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

model-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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/model_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.

Origin

This is a copy

83% identical to model-usage — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills2set/model-usage/SKILL.md · 46 lines

What it actually says

Model usage

Overview

Get per-model usage cost from CodexBar's local cost logs. Supports "current model" (most recent daily entry) or "all models" summaries for Codex or Claude.

TODO: add Linux CLI support guidance once CodexBar CLI install path is documented for Linux.

Quick start

  1. Fetch cost JSON via CodexBar CLI or pass a JSON file.
  2. Use the bundled script to summarize by model.
python {baseDir}/scripts/model_usage.py --provider codex --mode current
python {baseDir}/scripts/model_usage.py --provider codex --mode all
python {baseDir}/scripts/model_usage.py --provider claude --mode all --format json --pretty

Current model logic

  • Uses the most recent daily row with modelBreakdowns.
  • Picks the model with the highest cost in that row.
  • Falls back to the last entry in modelsUsed when breakdowns are missing.
  • Override with --model <name> when you need a specific model.

Inputs

  • Default: runs codexbar cost --format json --provider <codex|claude>.
  • File or stdin:
codexbar cost --provider codex --format json > /tmp/cost.json
python {baseDir}/scripts/model_usage.py --input /tmp/cost.json --mode all
cat /tmp/cost.json | python {baseDir}/scripts/model_usage.py --input - --mode current

Output

  • Text (default) or JSON (--format json --pretty).
  • Values are cost-only per model; tokens are not split by model in CodexBar output.

References

  • Read references/codexbar-cli.md for CLI flags and cost JSON fields.
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. 5d ago First seen · 46 lines · 69 tokens per session scan A 70e8c1c96f7c

Subscribe to this mod's changes

model-usage is a skill published in the GitHub repository MerkyorLynn/Lynn (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 69 tokens to every session and 525 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to model-usage, differing in 30 lines, and is treated as a copy.

Analytics and metricsagenticai-agentai-assistantclicoding-agentcross-platform
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