quality-check
Skill0 starsChanged 42 days agoMITView on GitHub
Internal — audiovisual QA of a rendered short. Runs measured checks (delivered spec, full decode, frame count, loudness and true peak after AAC, END-length stems, caption sync against the final voice track, caption bounds vs platform guides and faces, black/frozen frames, blank tail) and requires your inspection of the generated frame sheets before anything is called passed.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- emergent-wisdom/understanding-graphtheir own version, first seen Nov 1, 2026
- AlekseiUL/heisenberg-team-GPTtheir own version, first seen Nov 1, 2026
- AlekseiUL/heisenberg-teamtheir own version, first seen Nov 1, 2026
- neeldas1209/GTM-Strategy-Enginetheir own version, first seen Oct 20, 2026
- prPMDev/my-portfolio-kittheir own version, first seen Oct 13, 2026
- hsnice16/agent-friendly-codetheir own version, first seen Oct 11, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- dlupiak/claude-session-dashboard★ 66same name
- AlekseiUL/heisenberg-team★ 17same name
- AlekseiUL/heisenberg-team-GPT★ 9same name
- joris887/exosuit★ 9same name
- MainFrame100/quality-check-skill★ 7same name
- hsnice16/agent-friendly-code★ 2same name
- prPMDev/my-portfolio-kit★ 2same name
- emergent-wisdom/understanding-graph★ 1same name
- Evan-Kim2028/agent-skills★ 1same name
- neeldas1209/GTM-Strategy-Engine★ 0same 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 repository19 other files it gives its agents.
- analyzeSkill
- audioSkill
- captionsSkill
- clipSkill
- creator-editSkill
- designSkill
- directorSkill
- doctorSkill
- editSkill
- exportSkill
- graphicsSkill
- ingestSkill
- luxury-techSkill
- previewSkill
- reframeSkill
- reviseSkill
- studioSkill
- style-learningSkill
- transcribeSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Read renders/<rid>/qa.json findings and the sheets qa/contact.jpg (whole video incl.
- Very specific: line 25
Never say "QA passed" from an exit code alone.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Quality check (internal)
renderalready runs QA. To re-run:shorts-studio qa <project> --clip <id> [--render rNNN].- Read
renders/<rid>/qa.jsonfindings and the sheetsqa/contact.jpg(whole video incl. first/last frames) andqa/cuts.jpg(frames either side of every cut/layout join). - Inspect: framing (faces, headroom, the right person), captions (legible, not over faces/UI,
emphasis meaningful, none stale), cut smoothness, colour, graphics landing frames, anything
broken. Record it:
shorts-studio qa note <project> --clip <id> --render <rid> --what "..." --notes "...". - Each failing finding names a repair rule; apply it with
/shorts-studio:revise, re-render, re-check. Stop after the project's repair budget and deliver honestly as draft/blocked.
Never say "QA passed" from an exit code alone. Full real-time playback is not possible here;
say so and point the user to preview_540x960.mp4.
Completion: qa.json verdict recorded, every sheet inspection recorded (agent-visual), and
remaining failures listed in the report.
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.