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SkillsMP a collecté 7 skills depuis Neeeophytee/ai-watermarks-reality-check. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 7 skills collectés sur 7.
Compare an original asset with resized, converted, uploaded, or downloaded derivatives and produce a JSON, Markdown, or HTML provenance-survival report. Use when testing whether a CMS, image optimizer, social network, editor, screenshot, watermark-removal…
Langue du texte source : anglais
Audit supported metadata surfaces in images, SVG, PDF, and OOXML assets for privacy signals such as GPS, author, device, software, comments, and timestamps. Use when preparing a public release and metadata exposure must be assessed without altering or…
Langue du texte source : anglais
Answer the five provenance questions for a single asset in one pass - was provenance located, verified, and trusted, was the scan complete, and what remains unknown. Use when a user asks for an overall provenance verdict on a file and does not want to…
Langue du texte source : anglais
Review a structured record of AI-generated outputs for provenance evidence, human-readable disclosure, model identification, and documented edits. Use when preparing for publication or policy review and teams need gaps and next actions without a legal…
Langue du texte source : anglais
Run every available text-provenance detector over a document or string and report per-detector states, including hidden Unicode channels and detached C2PA manifests. Use when a user asks whether text carries an AI watermark, contains invisible or smuggled…
Langue du texte source : anglais
Inspect local files or text for observable provenance metadata, possible C2PA markers, hashes, and text control characters. Use when a user asks whether an asset contains Content Credentials, an AI mark, provenance metadata, or suspicious invisible characters…
Langue du texte source : anglais
Verify C2PA Content Credentials in a local asset with the official c2patool, separating manifest presence, cryptographic integrity, and signer trust. Use when a user needs defensible validation instead of byte-marker guesses, including offline and…
Langue du texte source : anglais