OpenClaw Token Usage

Inspect token usage from local OpenClaw transcripts across a specified time range. Use when the user asks how many tokens were consumed in OpenClaw, GitHub C...

This skill appears to do what it says: it reads OpenClaw transcript files from your home directory and summarizes token usage locally. Before running, confirm the transcript path (~/.openclaw/agents/...) is where you keep the data you want analyzed, and that you are comfortable running a third‑party Python script on those files. The script can write JSON/CSV/markdown to paths you supply—verify output paths to avoid overwriting important files. If you need extra assurance, inspect the remainder of the script (the truncated portion) yourself for any network calls or subprocess invocations; if no network calls are present, running it locally is low-risk. Also ensure your Python environment supports zoneinfo or pass a simple tz like UTC/UTC+8 as advised in SKILL.md.

Type: OpenClaw Skill Name: openclaw-token-usage Version: 1.2.0 The skill bundle provides a utility for aggregating and reporting token usage from local OpenClaw transcript files. The Python script (report_openclaw_token_usage.py) reads JSONL files from the ~/.openclaw/agents/ directory, calculates metrics like input/output tokens and cache usage, and generates reports in text, JSON, CSV, or Markdown formats. The code uses standard libraries, lacks network or suspicious execution capabilities, and the instructions in SKILL.md are strictly aligned with the stated purpose of usage monitoring.