Workout Tracker

个人健身跟踪器 — 通过文字记录健身训练数据，自动解析动作、组数、次数和重量，实时写入本地 MySQL 数据库。支持制定专属训练计划、查询历史记录、追踪进步曲线，以及球类和有氧运动记录。

This skill appears internally consistent with a local MySQL workout tracker, but take these precautions before installing: 1) Review the included scripts (init_database.py, verify_setup.py) yourself — they are small and only use the declared MYSQL_* vars, but confirm no surprises. 2) Create and use a dedicated local MySQL user with minimal privileges (INSERT/SELECT/UPDATE/DELETE) and do NOT use production or admin DB credentials. 3) Keep the .workout-tracker.env file permission-restricted (chmod 600) and do not commit it to version control; verify how the scripts parse values (they read raw values and will include quotes if present). 4) Run the init/verify steps in an isolated/dev environment or container first to confirm behavior. 5) If you do not want the agent to write to your local DB without prompts, consider disabling or limiting autonomous invocation in your agent policy. 6) Because the package source is unknown, prefer to run it locally from a vetted copy or audit the repository before granting access to any sensitive systems.

Type: OpenClaw Skill Name: workout-tracker Version: 1.3.7 The workout-tracker skill is a legitimate tool designed to log fitness activities to a local MySQL database. The bundle includes well-documented scripts for database initialization (init_database.py) and environment verification (verify_setup.py), both of which follow standard practices. The SKILL.md file provides the AI agent with clear instructions on parsing workout data and emphasizes security by strictly mandating parameterized SQL queries to prevent injection. No indicators of data exfiltration, unauthorized execution, or malicious intent were found.