Token Monitor

分析 OpenClaw 会话 JSONL 文件，监控各 skill/功能的 token 消耗（输入/输出/缓存命中）和成功率。当需要分析会话 token 使用、跟踪性能或生成使用报告时使用。关键词触发：token、会话分析、skill 性能、使用报告。

This skill appears to do what it says: analyze local OpenClaw/Claude session JSONL files for token usage and produce reports. Before installing or running it, review these points: 1) The tool reads files under ~/.claude/projects and ~/.claude/skills — those session files can contain sensitive conversation content, so run it only if you trust the environment and code. 2) Inspect scripts/analyze_session.py locally (it is included) to verify there are no unexpected network calls or writes; the provided script shows only local file I/O and no networking. 3) When running, prefer an explicit output path (use --output) and run in a controlled directory/sandbox if you have privacy concerns. 4) SKILL.md references a metrics document that is not present (references/metrics-calculation.md) and uses a {baseDir} placeholder — ensure you run the correct script path. If you need higher assurance, run the script in an isolated environment or review/execute it line-by-line before giving it access to your real session files.

Type: OpenClaw Skill Name: qy-token-monitor Version: 1.0.0 The qy-token-monitor skill is a diagnostic utility designed to analyze OpenClaw session logs (~/.claude/projects/*.jsonl) to track token consumption, success rates, and latency. The Python script (scripts/analyze_session.py) parses local session data to generate usage reports in JSON, Markdown, or HTML formats. While it accesses sensitive conversation history, this is necessary for its stated purpose, and there is no evidence of data exfiltration, unauthorized network activity, or malicious instructions in the SKILL.md file.