Skill Tracker

通用技能使用统计追踪器，支持 Python 和 Node.js 技能，自动记录调用次数、成功率，生成使用排行榜。数据本地存储，保护隐私。

This package appears to implement a local-only skill analytics tracker, but before installing: 1) Verify the source (GitHub homepage) and that you trust the publisher. 2) Confirm which implementation you will use (Python vs Node); if you use the Node version, ensure Node is available (metadata only declared python3). 3) Inspect/choose the data_dir: default is package-relative data/ (safe), but examples use /var/log which may require root—don't set system directories unless intended. 4) Review what you log: the tracker saves user, session_id, channel and error text — these can be PII or session tokens. Turn off logRaw or redact sensitive fields if needed and set an appropriate retention policy. 5) Note a small docs inconsistency (referenced script missing); if you rely on any helper scripts, verify they exist. 6) If you need stronger guarantees, run the code in a sandbox or review the code paths that write files to ensure no unexpected file access or network calls are introduced in future versions.

Type: OpenClaw Skill Name: skill-tracker-aiyst Version: 1.2.0 The skill bundle is a utility for tracking usage statistics of other OpenClaw skills locally. It provides both Python (`skill_tracker.py`) and Node.js (`index.js`) implementations that record call counts, success/failure rates, and execution durations to local files (`skill-stats.json` and `usage-log.jsonl`). The code uses proper concurrency controls like file locks and atomic writes, contains no network-reaching code or external dependencies, and lacks any indicators of data exfiltration or malicious execution.