smart personal fashion assistant

This skill appears internally consistent with a local wardrobe/fashion assistant, but review the following before installing: - Photo & data transmission: the tools compress/encode user photos into Data URIs and assemble payloads intended for a multimodal LLM. Confirm which model endpoint and credentials your agent will use — sending photos and personal body/skin data to an external model is sensitive. - Local filesystem writes: the skill will create ./smart_wardrobe/ (USER.md, inventory.md, wardrobe_data/, temp_upload/, wardrobe_dashboard/) and will move/delete files during import flows. Make sure you are comfortable with those files being created where the agent runs and that you have backups if needed. - Model-generated content becomes authoritative: several flows rely on model-generated IDs, HTML that contains embedded JSON, and then automatically update USER.md or inventory.md. A hallucinated or malformed model response could corrupt indexes or inject unexpected data into your local files — consider reviewing model outputs or enabling confirmation steps (the skill includes confirmation steps, but check your agent enforces them). - Execution capability: the bundle includes Python tools; the agent will only use them if it can run Python. If you run in a restricted environment, verify what runtime the agent will actually execute. If you want stronger safety: restrict the skill from autonomous invocation until you have validated end-to-end behavior, inspect the code in TOOLS/, and configure the agent so that any payloads containing images are sent only to a trusted model endpoint you control.