mac-wallpaper-changer

自动更换 Mac 壁纸、壁纸智能推荐与偏好学习。凡涉及壁纸相关操作，都应优先使用此技能：换壁纸、更换桌面背景、 Mac wallpaper、自动换壁纸（cron/定时任务）、按关键词搜索壁纸（如"上海夜景"、"mountain sunset"）、 壁纸评分与喜好统计、壁纸推荐、位置配置。支持 Bing 每日精选...

This skill is coherent for changing macOS wallpapers, but check the following before installing or running: - Runtime dependencies: The scripts expect Python >=3.12, the 'uv' runner, and Python packages (polars, duckdb, pyobjc). The registry metadata did not declare these — install them in a virtualenv or confirm your environment first. - Files and write access: The skill will create ~/wallpaper-daily/ (images, preferences.parquet, logs) and may read ~/.wallpaper_prefs.json and ~/.wallpaper_prefs.json embedding config. If you care about file placement, inspect and change the paths in the code before running. - Network access: The scripts fetch images from Unsplash (scraped NAPI or API), Bing, and Picsum. Ensure you are comfortable with those network calls. If you provide an UNSPLASH_ACCESS_KEY or embedding API keys, keep them secret and only provide keys you trust; the code will use them for search/embedding (embedding is a planned advanced feature referenced in docs). - Process control: To force wallpaper refresh the code runs 'killall WallpaperAgent' (and may use 'desktoppr' as fallback). That terminates the WallpaperAgent process to refresh the desktop — expected for the task but be aware it affects your desktop agent. - Run safely: Review the scripts locally, run them in a controlled environment or sandbox first, and consider running 'uv run scripts/change.py --download-only' (or equivalent) to test downloading without changing system state. If you do not have 'uv' or Python 3.12+, either install them or adapt the scripts to your Python runner. If you want, I can list the exact dependency lines and the places the skill writes/reads on disk, or point out the specific lines where network calls and 'killall' are issued.

Type: OpenClaw Skill Name: mwc Version: 1.0.1 The bundle is a comprehensive macOS wallpaper management utility that fetches high-quality images from Bing, Unsplash, and Picsum. It uses legitimate system APIs via PyObjC (AppKit) and standard subprocess calls to update desktop backgrounds and manage local preference data using Polars and DuckDB. No evidence of data exfiltration, malicious persistence, or prompt injection was found; all network activity is directed toward stated image providers, and file operations are confined to the user's home directory (~/wallpaper-daily/).