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New 'identify' command and identify.py module: upload an image, get one ProvenanceReport answering where it was made and what watermarks it carries. Aggregates every locally-readable signal: - C2PA Content Credentials -> generating platform (issuer + generator). - IPTC digitalSourceType 'Made with AI' (Meta and others). - Embedded SD/ComfyUI generation parameters (local pipelines). - SynthID metadata proxy (Google / OpenAI C2PA companion). - Visible Gemini sparkle (cv2 fallback for the stripped-metadata case), promoted only at confidence >= 0.5 (corpus-tuned: Gemini sparkles score >= 0.56, non-sparkle <= 0.49). is_ai_generated is True or None, never asserted False -- stripped metadata leaves no local proof of a clean origin, so absence of signals is reported as 'unknown' with an explicit caveat. The SynthID *pixel* watermark remains locally undecodable; the report says so. Non-PNG containers (JPEG/WebP/AVIF/HEIF/JXL) get the same issuer + generator attribution via a binary scan (the caBX parser is PNG-only). The cv2 dependency is isolated in gemini_engine.detect_sparkle_confidence so identify.py stays type-clean. CLI supports --json and --no-visible. Validated against the 109-image corpus: 14/14 positives flagged AI, 93/94 negatives clean (the one 'neg' flagged is a Meta image that genuinely carries the IPTC tag -- correct), zero true errors. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>