StyleBuddy

OpenClaw首个生活场景Skill - 你的AI穿搭闺蜜。拍照录入衣橱、智能推荐搭配、逛街种草咨询，还有衣橱分析帮你科学购物。支持多模态识别，无需关键词，像跟闺蜜聊天一样自然。

This skill appears to be what it says: a local wardrobe manager and outfit recommender. Things to consider before installing: - Privacy: the skill stores photos and metadata in a local SQLite DB and assets/images; avoid uploading very sensitive photos and back up/secure the database if you care about privacy. - Optional APIs: image search/generation providers (Serper, SiliconFlow) require API keys you would add to config.yaml; only provide keys from services you trust. - Runtime environment: code runs as Python and depends on requirements.txt (requests, pillow, pyyaml). Installing or running it will install/execute that code — review all files (especially the 12 omitted files) for any hidden network endpoints or unexpected requests before providing any credentials. - Recommendation: if you plan to use it, (1) review services/*.py and src/storage/database.py for outbound network calls and data handling, (2) run it in an isolated environment if possible, and (3) do not give it any unrelated credentials (AWS, Slack, etc.). If you want, I can search the omitted files for suspicious network calls or tokens and re-check the assessment.

Type: OpenClaw Skill Name: stylebuddy Version: 0.4.4 StyleBuddy is a comprehensive AI fashion assistant bundle designed for wardrobe management and outfit recommendations. The code implements legitimate features including SQLite-based data storage, PIL-based image processing for outfit visualization, and integration with the Open-Meteo API for weather-aware suggestions. No evidence of data exfiltration, malicious execution (e.g., eval/exec), or prompt injection was found; file operations (shutil.copy2) and network requests are strictly aligned with the stated purpose of managing local assets and fetching weather data.