Model Usage Linux

通过 python3 脚本解析 OpenClaw 会话 JSONL 文件，按模型汇总会话轮次、输入/输出 token、缓存读写 token 与美元成本，支持文本与 JSON 两种输出格式，可用参数指定自定义会话目录。

hablabechir

热度 90.03

最近更新 2026-05-11 17:27:24

分类：数据依赖：代码执行 / 读写文件应用场景：报告撰写 / 数据处理 / 财务

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add model-usage-linux

Metadata

name: model-usage-linux
description: 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.

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