Scan image folders and use Gemini 2.0 Flash to analyze and categorize photos by photography attributes like composition, lighting, and style.

This skill appears to do what it says (scan local images and send them to Gemini for analysis) but the registry metadata failed to declare the required Gemini API key/env vars. Before installing: 1) Expect that images (full base64 blobs) will be uploaded to an external LLM service — do NOT run it on private or sensitive photos unless you accept that. 2) Provide the API key either with --api-key or set GEMINI_API_KEY; the skill will also respect HTTPS_PROXY / --proxy. 3) Review and run dependencies (npm install) in an isolated environment; verify the @google/generative-ai package version is acceptable. 4) If you need stronger guarantees about data handling or want metadata-only analysis, request/inspect a variant that avoids sending full images. If you need the metadata declared in the registry (so automated installers can surface required secrets), ask the publisher to add GEMINI_API_KEY to requires.env.

Type: OpenClaw Skill Name: image-scanner-pro Version: 1.0.0 The skill bundle is a legitimate tool for batch-analyzing images using the Gemini 2.0 Flash model. The code in index.js scans a local directory for image files, converts them to base64, and sends them to the official Google Generative AI API for photography-specific analysis as described in SKILL.md. There is no evidence of data exfiltration, unauthorized network activity, or malicious prompt injection.