Victor Kuznetsov

Find gaps in how remove-ai-watermarks detects AI origin information and watermarks across new and retained datasets, then verify fixes and check that removable signals are cleared without breaking required image or stream properties.

• Audit newly collected data for unsupported signals
• Recheck retained data after detection changes
• Verify removal of newly detected watermarks

Inspect images and videos you generated or edited for AI watermarks and embedded origin information, then remove selected signals. The skill guides a command-line tool and reports completed operations without treating missing signals as proof of human authorship.

• Inspecting files for AI origin signals
• Removing visible AI labels from your own media
• Removing embedded AI metadata

Check AI watermarks through Google, OpenAI, Microsoft, or Meta verification services. The skill links results to file hashes, identifiers used to verify file integrity, and records separate evidence for each configured account and verification route.

• Checking watermarks through provider verification services
• Comparing Gemini results across configured accounts
• Recording API and browser checks separately