Overview
- Skill Key
- hablabechir/model-usage-linux
- Author
- hablabechir
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/hablabechir/model-usage-linux
- Latest Commit SHA
- f6c95f95393e19a74c043d7efe7d36dac64908e8
Official OpenClaw
rules
36%
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.
Stars
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Installs
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Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 model-usage-linux 技能。 若已安装，则直接安装 model-usage-linux 技能。
Extracted Content
SKILL.md excerpt
# 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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