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Agent skill

Model Usage

by trpc-group in trpc-group/trpc-agent-go

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown.

Apache-2.0Auto-check passed

Install Model Usage

skills CLI
$ npx skills add trpc-group/trpc-agent-go --skill model-usage -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install trpc-group/trpc-agent-go model-usage --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/trpc-group/trpc-agent-go.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openclaw/skills/model-usage .claude/skills/model-usage && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-usage
GitHub stars
1.8k
Used in
17 other repos
Token cost
~563 tokens
SKILL.md length
152 words
Files
3 (incl. scripts, references)
Skills in repo
47
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown.

  • Works in 2 steps: Fetch cost JSON via CodexBar CLI or pass… → Use the bundled script to summarize by…
  • Asked for model-level usage/cost data from codexbar
  • SKILL.md covers Overview, Quick start, Current model logic and Inputs, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

Model Usage is an agent skill from trpc-group/trpc-agent-go. Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/codexbar-cli.md` and `scripts/model_usage.py`).

The repository describes itself as: A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability. The licence is Apache-2.0.

When your agent uses it

  • Asked for model-level usage/cost data from codexbar
  • You need a scriptable per-model summary from codexbar cost JSON

Example prompts

  • “/model-usage”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Fetch cost JSON via CodexBar CLI or pass a JSON file.
  2. Use the bundled script to summarize by model.

What it can do on your machine

Read from SKILL.md and the folder at commit 9bb1c42. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Usage loads about 563 tokens when it runs, and up to ~843 if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~563
With references · SKILL.md plus every file in references/, read only if the agent opens them
~843

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from trpc-group/trpc-agent-go at commit 9bb1c42, republished under its Apache-2.0 licence (© trpc-group). 152 words, ~563 tokens.

Download SKILL.mdSave it as .claude/skills/model-usage/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
model-usage
description
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

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.
bash
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:
bash
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.

© trpc-group, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in openclaw/skills/model-usage of trpc-group/trpc-agent-go.

  • SKILL.md
  • references/codexbar-cli.md
  • scripts/model_usage.py

Open the folder on GitHubat commit 9bb1c42

Used in 17 other repositories

We found 41 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 17 other GitHub owners. This page covers the copy in trpc-group/trpc-agent-go, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Model Usage next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Usage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Usage this skilltrpc-group/trpc-agent-go1.8k17 repos~563Automated safety check: PassApache-2.0
Cost Trackingaffaan-m/ECC274k1 repos~1.3kAutomated safety check: PassMIT
Cost Conversationruvnet/ruflo74k—~407Automated safety check: NotesMIT
Cost Reportruvnet/ruflo74k—~830Automated safety check: NotesMIT
Cost Optimizeruvnet/ruflo74k—~997Automated safety check: NotesMIT
Cost Trackruvnet/ruflo74k—~773Automated safety check: NotesMIT

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Questions about Model Usage

What does Model Usage do?

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Model Usage is an agent skill from trpc-group/trpc-agent-go. Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown.

When should I use Model Usage?

Model Usage fits situations like: asked for model-level usage/cost data from codexbar; you need a scriptable per-model summary from codexbar cost JSON.

How do I install Model Usage in Claude Code?

Run `npx skills add trpc-group/trpc-agent-go --skill model-usage -a claude-code`. Or copy the skill folder (openclaw/skills/model-usage in trpc-group/trpc-agent-go) into .claude/skills/model-usage in your project. Claude Code loads it when a task matches its description.

How do I install Model Usage in Codex?

Run `npx skills add trpc-group/trpc-agent-go --skill model-usage -a codex`. Or copy the skill folder (openclaw/skills/model-usage in trpc-group/trpc-agent-go) into .agents/skills/model-usage in your project. Codex loads it when a task matches its description.

Can I use Model Usage in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add trpc-group/trpc-agent-go --skill model-usage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-usage, .gemini/skills/model-usage, .github/skills/model-usage and .opencode/skills/model-usage in your project.

What does Model Usage need to run?

Going by SKILL.md and its folder, Model Usage needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Model Usage access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Model Usage safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Model Usage use?

Model Usage is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Model Usage use?

About 563 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 280 tokens, read only when the agent opens those files.

What are the alternatives to Model Usage?

Skills that share tags, products or a category with Model Usage: Cost Tracking (affaan-m/ECC, 274k stars), Cost Conversation (ruvnet/ruflo, 74k stars), Cost Report (ruvnet/ruflo, 74k stars) and Cost Optimize (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Usage?

trpc-group (a GitHub organization) maintains it in trpc-group/trpc-agent-go, which has 1,846 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 7, 2026.

Source: trpc-group/trpc-agent-go on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.