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Embed C2PA (Content Authenticity Initiative) provenance manifests in AI-generated marketing assets (image/video/audio/PDF).
Passed 17 of 20 test cases with the skill, and 5 of 20 without it.
and 15 more in the full report
14 fixed5 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our broadcast team wants to attach Content Credentials to live video streams. What is the minimum C2PA specification version that introduced format support for live video and plain text documents?
| Checked | Without skill | With skill |
|---|---|---|
| identifies Content Credentials 2.3 as the floor version introducing live video support | Missed | Passed |
The instructions your model reads when the skill loads.
Wraps scripts/embed-c2pa.py to add a C2PA (Coalition for Content Provenance and Authenticity) manifest to any AI-generated marketing asset. The manifest carries a machine-readable provenance trail (who generated it, what generator was used, what prompt produced it, when it was reviewed) plus a visible AI-generation claim in the IPTC digital-source-type vocabulary.
This is the technical mechanism brands use to comply with:
The resulting asset can be inspected by any C2PA-aware viewer (Adobe Photoshop, Lightroom, Truepic, contentcredentials.org/verify).
c2pa.ai-disclosure) for machine-readable AI transparency info — this is the assertion the EU AI Act Article 50 deployer pathway will rely on. The final Code of Practice on Transparency of AI-Generated Content (published 10 June 2026) references C2PA-style assertions as the canonical machine-readable marking mechanism for both providers and deployers. See skills/context-engine/eu-code-of-practice.md for the full Article 50 context.For DMP outputs: embed-c2pa.py now supports --ai-disclosure. Pass it to embed the C2PA 2.4 c2pa.ai-disclosure assertion alongside the existing IPTC digital-source-type claim. The combination gives you both human-readable (IPTC) and machine-readable (c2pa.ai-disclosure) EU AI Act Article 50 signaling — this is the deployer-side machine-readable pathway the final Code of Practice (10 June 2026) points to as the canonical marking mechanism. See skills/context-engine/eu-code-of-practice.md for the full Article 50 context.
/digital-marketing-pro:check for EU-targeted assets# Single asset — image generated by Vertex AI / Nano Banana Pro
/digital-marketing-pro:c2pa-metadata \
--input assets/q3-launch-hero.png \
--output assets/signed/q3-launch-hero.png \
--brand "Acme Corp" \
--generator "Vertex AI / Nano Banana Pro" \
--ai-claim ai-generated-content \
test cases passed, vs 5 / 20 without
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