Individual skill
media-provenance-rights
Provider-independent provenance, rights, consent, disclosure, and release governance for AI-generated media. Use when producing or reviewing generated images, video, audio, ads, avatars, product content, social clips, documentaries, localization, music, sound, or campaign assets that need source-rights checks, model/provider term checks, likeness or voice consent, trademark/logo review, copyrighted-character/style risk triage, music licensing, C2PA/content credentials, provenance ledgers, release notes, platform disclosures, jurisdiction/client caveats, or rights QA.
skills/production/governance-delivery/media-provenance-rights/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Jul 14, 2026
- License
- MIT
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- agent Repository topic
- agentic-ai Repository topic
- ai Repository topic
- ai-audio Repository topic
- ai-video Repository topic
- claude Repository topic
- codex Repository topic
- copilot Repository topic
- cursor Repository topic
- generative-media Repository topic
- marketing Derived category
- productivity Derived category
- productivity-notes Derived category
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# Media provenance and rights governance
Use this skill to make generated media releasable, auditable, and explainable. It is not legal advice. It is a production governance workflow that helps an agent identify rights evidence, missing permissions, disclosure duties, and escalation points before a client or platform receives the asset.
Default posture: do not claim an asset is "cleared," "copyright-safe," "commercially safe," or "owned" unless the production record shows the exact basis for that statement. Prefer "approved for this release under the documented assumptions" plus a dated caveat.
## Separate facts, observations, and heuristics
Treat these as different evidence classes in your work product:
- Documented facts: directly supported by contracts, licenses, provider terms, platform rules, consent forms, official guidance, or technical metadata. Cite the source and verification date for volatile facts.
- Empirical observations: things observed in the actual workflow, such as "metadata survived this export" or "the uploaded platform copy retained no visible credential." Record the test, file hash, date, tool, and result.
- Production heuristics: conservative operating rules used to reduce risk when legal certainty is unavailable. Label them as heuristics, not law.
