Mood Diary

心情日记 — 智能情绪追踪器，通过自然语言记录中文日记、自动识别7种情绪、 1-10分评分、智能标签提取，生成日/周/月报告和趋势分析。 数据纯本地JSON存储，零网络请求，保护隐私。

This package appears coherent and local-only, but before installing: (1) review the portions of the scripts that were truncated in the provided bundle to confirm there are no network calls, subprocess.exec/use of sockets, or hidden telemetry; (2) verify you are comfortable with data being stored under ~/.openclaw/workspace/data/journal and back it up if needed; (3) on Windows the chmod calls are ignored — check file ACLs if you need strict privacy; (4) if you plan to run these scripts in an automated agent, remember they can modify local files (entries.json) — consider making a copy of existing data first. If you want, I can scan the remaining truncated parts for network/subprocess usage or search the full files for suspicious patterns.

Type: OpenClaw Skill Name: mood-diary Version: 1.0.0 The OpenClaw skill bundle is benign. Both the `SKILL.md` documentation and the Python scripts (`journal.py`, `mood-report.py`) consistently emphasize and implement local-only data storage with zero network requests, fulfilling the stated privacy claims. The code uses only standard Python libraries, sets restrictive file permissions for user data, and employs atomic writes for data integrity. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the AI agent.