Skills model-usage-linux

Track OpenClaw AI token usage and cost per model on Linux by parsing session JSONL files. Use when asked about: token usage, API cost, how much has been spent, which model was used most, usage summary, billing, cost breakdown. Linux replacement for the macOS-only model-usage/CodexBar skill.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aiyouwolegequ/openclaw-model-usage-linux" ~/.claude/skills/clawdbot-skills-model-usage-linux && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/aiyouwolegequ/openclaw-model-usage-linux" ~/.openclaw/skills/clawdbot-skills-model-usage-linux && rm -rf "$T"

manifest: skills/aiyouwolegequ/openclaw-model-usage-linux/SKILL.md

source content

Model Usage (Linux)

Parse OpenClaw session files to summarize token usage and cost per model.

Quick start

python3 {baseDir}/scripts/usage.py

Options

# JSON output
python3 {baseDir}/scripts/usage.py --format json

# Custom sessions dir
python3 {baseDir}/scripts/usage.py --sessions-dir ~/.openclaw/agents/main/sessions

Output

Shows per-model breakdown:

Turns (assistant replies)
Input / output tokens
Cache read / write tokens
Cost in USD

Sessions live at:

~/.openclaw/agents/main/sessions/*.jsonl