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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.

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updated:March 4, 2026
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SKILL.md Frontmatter
namemodel-usage-linux
descriptionTrack 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.

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