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ai-video-delivery-quality-gate

Audit a local video, SRT captions, shot manifest, asset-rights ledger, and delivery policy before release. Use when an AI video, talking-head clip, product explainer, batch edit, digital-human video, or short-form content needs evidence-backed checks for streams, dimensions, frame rate, black frames, silence, caption coverage, shot continuity, asset licensing, and AIGC declaration. Produces PASS, REVIEW, or BLOCK without uploading or publishing media.

作者:暂未提供 | 来源记录:ClawHub
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V 1.0.0
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ai-video-delivery-quality-gate

AI Video Delivery Quality Gate

Inputs

  • - A local MP4 or other FFmpeg-readable video.
  • SRT captions for the delivery version.
  • A JSON shot manifest with timeline, asset IDs, origins, and AIGC declaration.
  • A CSV asset-rights ledger and a JSON quality policy.

Outputs

  • - summary.json: final PASS, REVIEW, or BLOCK decision.
  • INLINECODE4: normalized ffprobe and detector metrics.
  • INLINECODE5: rule codes, evidence, and repair guidance.
  • INLINECODE6: every used asset matched to its rights row.
  • INLINECODE7: machine results plus mandatory human-review items.

Three-step workflow

  1. 1. Probe the rendered media and calculate black-frame, silence, and caption metrics.
  2. Reconcile the shot timeline with the rights ledger and AIGC declaration.
  3. Fix blocking findings, complete manual visual and legal review, then release.

Run

CODEBLOCK0

Use examples/blocked_rights_manifest.csv to verify that missing rights change the result to BLOCK.

Boundaries

The workflow reads local files only. It does not upload, publish, purchase, download, or modify a media platform account. Machine checks do not prove copyright ownership, factual accuracy, likeness consent, advertising compliance, or visual quality; those items remain mandatory human review.

See README.md and references/ for field contracts, recovery steps, and acceptance criteria.

标签

ai-video video-qc ffmpeg subtitles asset-rights n8n

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v1.0.0 最新 2026-8-19 07:10
初始版本(来自套餐拆分)
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