video-quality-check
Skill4 starsChanged 33 days agoMITView on GitHub
Check raw footage and a finished edit for the problems that make AI-edited videos look flat, soft or noisy and sound uneven - HDR footage, range mismatches, stacked compression, upscaling, loudness and true-peak. Use before editing new footage and before uploading a final video.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- demandsense-labs/linkedin-ads-skillstheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- demandsense-labs/linkedin-ads-skills★ 9same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- interview-shot-sheetSkill
- long-form-editorSkill
- shorts-cutterSkill
- youtube-metadataSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Run this on the raw takes before editing and on the final file before uploading.
- Very specific: line 20
Audio: Check loudness (ebur128) and look for clipping in the raw file: a sample peak at 0 dBFS means the mic clipped and no edit can fully …
- Distinctive: line 25
Keep intermediates near-lossless: x264 CRF ≤ 10, 10-bit.
- Distinctive: line 27
Don't add animated grain. It eats bitrate and turns to blotches after YouTube's encode.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Video quality check
Run this on the raw takes before editing and on the final file before uploading. Report what you find in plain words and what to change.
Raw footage
ffprobe -v error -select_streams v:0 -show_entries stream=width,height,r_frame_rate,pix_fmt,color_range,color_transfer,color_primaries -of compact <take>- HDR.
color_transfer=arib-std-b67(HLG) orsmpte2084(PQ) means HDR. Treated like normal video it comes out flat and grey. Best fix: tell the creator to turn off HDR Video (iPhone: Settings › Camera › Record Video). Otherwise tone-map to SDR BT.709 once, at the very first step. - Range. iPhone SDR is often full range (
yuvj420p,color_range=pc). Convert to limited (tv) range once, explicitly, or blacks and whites get crushed or washed out. - Brightness. Measure the average luma (
signalstats, YAVG). Under ~35/255 means a dim room. Fix the light, don't add darkening grades or vignettes on top. - Resolution. 1080p is enough for talking heads. Keep punch-ins modest (≤1.15×), since every zoom is an upscale.
- Audio. Check loudness (
ebur128) and look for clipping in the raw file: a sample peak at 0 dBFS means the mic clipped and no edit can fully fix it.
The edit pipeline
Count the lossy encodes from raw to upload. Every one costs detail, worst in dark shadows.
- Keep intermediates near-lossless: x264 CRF ≤ 10, 10-bit.
- Composite graphics in one final pass. Don't round-trip frames through JPEG.
- Don't add animated grain. It eats bitrate and turns to blotches after YouTube's encode.
Final file
- Video: H.264 High, yuv420p, BT.709 tags, CRF ~14,
+faststart. - Loudness: about -14 LUFS integrated. True peak ≤ -1 dBTP: limit with oversampling (e.g.
aresample=192000,alimiter,aresample=48000), since sample-peak limiting alone can still overshoot after AAC. - Music under speech: about 18–22 dB below the voice.
- Re-transcribe the final voice track and read it top to bottom. It catches clipped first words, repeated phrases and stray syllables that you'll miss by ear.
Report each problem with the measured number, why it matters, and the one-line fix.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

