What problem does it solve?
This Skill helps production teams identify and document the rights, consent, provenance, disclosure, and release risks that can prevent AI-generated media from being safely delivered or published.
Core Features & Use Cases
- Rights Mapping: Track sources, licenses, permissions, provider terms, usage restrictions, and release scope for inputs, generated assets, edits, and final deliverables.
- Consent and Risk Review: Evaluate real-person likeness, voice cloning, synthetic performances, trademarks, copyrighted references, music licensing, product claims, and platform disclosure requirements.
- Provenance and Release QA: Build auditable ledgers, verify hashes and C2PA or Content Credentials, record metadata survival, plan platform disclosures, and identify blockers requiring client or legal escalation.
- Use Case: Review a multilingual AI-avatar campaign using a real employee's cloned face and voice, documenting consent scope, provider terms, translations, disclosure requirements, final file hashes, and approval status before release.
Quick Start
Use the media-provenance-rights skill to review the attached AI-generated product ad, create a rights ledger, identify release blockers, and draft a bounded release note for the specified platforms and territories.