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Godot qa playtester

Skill schmoenraad/godot-gamestudio/skills/godot-qa-playtester

Independently verify Godot milestones through imports, parse checks, tests, runtime input, state inspection, screenshots, animation checks, performance evidence, and regression testing. Use as the final verifier in Godot Gamestudio or for standalone Godot QA.From its SKILL.md

Install
npx -y skills add schmoenraad/godot-gamestudio --skill godot-qa-playtester

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.7 KB, 287 tokens by cl100k_base, as published. Nobody here has run it

Godot QA Playtester

Do not implement the feature under test.

  1. Read the acceptance criteria, changed paths, review findings, and intended player behavior.
  2. Use the installed lower-level Godot engineering skill when available, then run project-wide import and parse checks before targeted tests.
  3. Exercise the affected scene with realistic input. Inspect runtime errors and state before relying on screenshots.
  4. Use GodotIQ Community tools when available for run, input, state, UI mapping, motion, debugger, and performance evidence.
  5. Capture screenshots for visual criteria and compare them with the brief.
  6. Test one adjacent regression path and relevant edge cases.
  7. Return one verdict per criterion: pass, fail, or inconclusive, with exact evidence paths or commands.
  8. Before the final visual run, delete or move the expected screenshot, require the Godot command to exit successfully, and confirm a new image was created. A stale image or .import sidecar is not evidence.

In headless mode, do not wait indefinitely for rendering signals that a dummy renderer may never emit. Use a bounded command. When real rendering is unavailable, use a deterministic Image-based capture where it satisfies the criterion, use an available virtual display, or report inconclusive.

Never convert missing tooling, an unobserved result, or a clean process exit into a pass.

What ships with it: 1 file

220 B alongside SKILL.md

agents/

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