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OpenClaw

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.

hablabechir0 source installs☆ 0 Repository stars
View source ↗InstallationSKILL.md ↗

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install hablabechir/model-usage-linux

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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

Source information

Source
github
Repository
openclaw/skills
Path
skills/hablabechir/model-usage-linux
Version
—
Commit
f6c95f95393e19a74c043d7efe7d36dac64908e8
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Model Usage (Linux)

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

## Quick start

```bash
python3 {baseDir}/scripts/usage.py
```

## Options

```bash
# 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`

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