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Prompt Preflight Qa

  • 690 installs
  • 19 repo stars
  • Updated July 27, 2026
  • postplusai/postplus-skills

prompt-preflight-qa is a PostPlus skill that reviews storyboard and video-generation prompts for weak frames, drift risk, and missing constraints before model credits are spent.

About

prompt-preflight-qa is a PostPlus Routing & Contracts skill that runs a credit-saving QA pass on existing storyboard or full video-request prompts before generation. It flags weak first frames, drift risk, missing constraints, bad product timing, and generic ad-like language, then outputs a concise readiness report. Developers and creative engineers reach for prompt-preflight-qa when a prompt draft already exists and model spend should not fire on incomplete hooks or ambiguous shot constraints. The skill sits in the postplus-shared guidance family and focuses on pre-generation review rather than writing prompts from scratch.

  • Classifies prompt type: storyboard grid, full video request, no-reference, or reference-led replication
  • Scores controllability: opening strength, first-three-second hook, drift risk, product timing, and negative constraints
  • Checks reference contract, explicit bindings, UGC realism, and long-video segment plans
  • Outputs a concise readiness report (optionally machine-readable) and routes blockers upstream—not full rewrites by defau

Prompt Preflight Qa by the numbers

  • 690 all-time installs (skills.sh)
  • +43 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #345 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/postplusai/postplus-skills --skill prompt-preflight-qa

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Listed on Skillselion
Installs690
repo stars19
Security audit3 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorypostplusai/postplus-skills

How do you QA video prompts before spending generation credits?

Run a credit-saving QA pass on storyboard or video-generation prompts before you spend model spend on weak hooks or missing constraints.

Who is it for?

Developers or creative engineers with draft storyboard or video prompts who want structured QA before triggering paid model generation.

Skip if: Blank-slate prompt authoring with no existing draft or workflows unrelated to storyboard or video-generation requests.

When should I use this skill?

A storyboard or video-generation prompt draft exists and the user wants preflight QA before spending model credits.

What you get

Concise prompt readiness report with flagged weak frames, drift risks, and constraint gaps

  • Prompt readiness report
  • Flagged constraint and hook issues

Files

SKILL.mdMarkdownGitHub ↗

Prompt Preflight QA

Use When

  • A storyboard prompt or full video request already exists.
  • You need to catch weak first frames, missing constraints, drift risk, bad

product timing, or generic ad-like language before spending credits.

  • The output should be a concise readiness report, not creative approval.

Do Not Use When

  • Do not use this after generation to judge finished creative quality.
  • Do not rewrite the whole prompt unless the user asks; identify blockers and

hand off to the right upstream skill.

Core Rule

Judge prompt quality by controllability, not by impressive prose.

Default Workflow

1. Classify the prompt object: storyboard grid prompt, full video request, no-reference draft, or reference-led replication draft. 2. Check opening strength, first-three-second hook legibility, viewer question, visible evidence, promise delivery, product timing, negative constraints, reference contract, explicit reference bindings, UGC realism, output format, and long-video segment plan. 3. Create a machine-readable preflight report when it is useful. 4. Return a concise verdict with risks, missing fields, likely drift, fixes, and whether the prompt can run now.

Blame Rule

Point the weakness to the correct upstream stage:

  • bad route -> media-router or video-request-architect
  • missing or misfit hook logic -> video-request-architect
  • weak hook decode -> reference-decode
  • weak panel, beat, or request logic -> video-request-architect
  • unclear learn/do-not-copy boundaries -> reference-contract-builder

Output Shape

The artifact contains verdict, canRunNow, missingFields, majorRisks, likelyDrift, and fixNow.

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are

missing and guessing would change the result.

  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

Handoff

  • Return report.json or the stdout JSON plus the smallest upstream fix.
  • After fixes, rerun this preflight before generation.

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run

it directly.

  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

  • This public skill is instruction-driven. Produce the artifact described by the workflow directly from the available evidence.
  • Do not call private provider/runtime paths or unpublished local tools.
  • If the CLI returns a quote-confirmation challenge, run postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.

Related skills

FAQ

What does prompt-preflight-qa check before generation?

prompt-preflight-qa checks storyboard and video prompts for weak first frames, drift risk, missing constraints, bad product timing, and generic ad-like language, then returns a concise readiness report before credits are spent.

When should you run prompt-preflight-qa?

Run prompt-preflight-qa when a storyboard or full video-request prompt draft already exists and you need structured QA before triggering paid model generation through PostPlus routing rules.

Is Prompt Preflight Qa safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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