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 spen...

This skill appears to be a local analyzer that reads your OpenClaw session JSONL files and prints usage/cost summaries. Before running: (1) confirm the sessions directory path is correct and contains only data you want analyzed, (2) review the included scripts/usage.py (it is short and clearly local-only), and (3) run it locally (or point it at a copy of the sessions) if you want to avoid analyzing live files. There is no network or credential access in the code, so risk is low, but avoid running arbitrary code you haven't inspected on sensitive systems.

Type: OpenClaw Skill Name: model-usage-linux Version: 1.0.0 The skill 'model-usage-linux' is designed to analyze OpenClaw AI token usage and cost from local session JSONL files. The `SKILL.md` provides clear, benign instructions for running the `scripts/usage.py` script. The Python script itself only reads and parses JSONL files from a specified directory (defaulting to `~/.openclaw/agents/main/sessions`), performs calculations, and prints a summary to standard output. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent. The code is straightforward, uses standard libraries, and strictly adheres to its stated purpose without engaging in any high-risk behaviors.