video-quality-audit

Identifies video quality issues in rendered outputs using ffprobe metadata and visual assessments, producing a scored report with pass/warn/fail grades.

11|3|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/gqy20/IssueLab --skill video-quality-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-quality-audit
Source: https://github.com/gqy20/IssueLab/tree/main/agents/video_manim/.claude/skills/video-quality-audit
Command: npx skills add https://github.com/gqy20/IssueLab --skill video-quality-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and report video quality issues in rendered outputs to guide iterative improvements.

Core Features & Use Cases

  • Metadata quality checks using ffprobe (codec, width, height, fps, bitrate, duration)
  • Visual quality assessment (readability, contrast, pacing, motion artifacts) and audio-visual sync verification
  • Output: structured Video Quality Report with gates (pass/warn/fail) and actionable next steps

Quick Start

Feed the rendered video file to the skill, then review the Video Quality Report and apply the recommended optimizations.

Frequently Asked Questions about video-quality-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit rendered video quality for post-production pipelines?

To audit rendered video quality, feed the output file into a post-render pipeline evaluation. The system assesses readability, motion artifacts, audio-visual sync, and constraint adherence to produce a structured report.

What video metrics does ffprobe collect for quality audits?

Ffprobe collects codec, width, height, fps, bitrate, and duration metrics during a video quality audit. These metadata checks form the baseline for evaluating post-production outputs and identifying optimization opportunities.

How do I check audio-visual sync and motion artifacts in rendered outputs?

Checking audio-visual sync and motion artifacts requires evaluating visual quality metrics within rendered outputs. The audit identifies pacing, contrast, and readability issues, returning actionable pass, warn, or fail gates.

Does this video quality audit work for animation, film, and educational videos?

Yes, this video quality audit applies directly to animation, film, and educational videos. It evaluates post-render outputs specific to these formats, ensuring constraint adherence and guiding iterative improvements.

What is the best way to guide render optimization after post-production?

The best way to guide render optimization is generating a structured video quality report. It provides pass, warn, and fail gates alongside actionable next steps to refine your post-production pipeline iteratively.