课程提醒助手。解析 Excel 课程表（支持教师课表格式），按日期梳理课程安排，支持查询今天/明天/指定日期的课程，生成上课提醒。触发场景：(1) 用户上传课程表后询问"明天有什么课"、"今天上什么课"、"XX号有什么课"；(2) 设置定时提醒，每天/每周自动推送次日课程；(3) 解析、导入、更新课程表；(4)...

This skill mostly does what it says (parses Excel teacher schedules and builds reminder text), but there are a few issues to check before installing: - File I/O mismatch: SKILL.md says parsed data is saved to data/schedule.json, but the scripts expect and read an Excel file (schedule.xlsx). Confirm which format and paths you will actually use so you don't accidentally expose other files. - Hardcoded absolute paths: daily_class_reminder.py and weekly_class_overview.py reference /home/admin/.openclaw/workspace/... and also insert that path into sys.path. That means the skill will read files from the agent workspace and import code from that location. Make sure those paths are correct for your environment and that the workspace doesn't contain sensitive files you don't want the skill to access. - Truncated code review: the provided class_reminder.py was truncated in the manifest; review the full file to confirm there are no network calls, telemetry, or other I/O (HTTP, uploads, or unexpected subprocess exec) in the omitted portion. Recommended actions before use: 1. Request or inspect the full class_reminder.py CLI code to verify it doesn't call external endpoints or execute arbitrary commands. 2. Adjust and document expected input/output paths (use either schedule.xlsx or schedule.json consistently) and remove or parameterize hardcoded absolute paths. 3. Run the scripts in a sandboxed environment with test Excel files to validate behavior. 4. If you will enable scheduled runs, ensure the schedule file location is restricted and validate the agent's workspace contents to avoid accidental data exposure.

Type: OpenClaw Skill Name: class-reminder Version: 1.0.0 The skill bundle is a legitimate tool for parsing Excel-based class schedules and generating automated reminders. The core logic in `scripts/class_reminder.py` uses the standard `openpyxl` library to process teacher-formatted schedules, and the accompanying shell and Python scripts facilitate daily and weekly overviews. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the instructions in `SKILL.md` are strictly aligned with the stated purpose of schedule management.