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Agent skill

Visual QA

by valkor-ai in valkor-ai/loom

Inspect Godot screenshots or short frame sequences for acceptance issues.

Apache-2.0Auto-check passedGame Development

Install Visual QA

skills CLI
$ npx skills add valkor-ai/loom --skill visual-qa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install valkor-ai/loom visual-qa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/valkor-ai/loom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/shared/loom/skills/godot/visual-qa .claude/skills/visual-qa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
visual-qa
GitHub stars
1.2k
Token cost
~438 tokens
SKILL.md length
205 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Inspect Godot screenshots or short frame sequences for acceptance issues.

  • Tasks that involve Game development
  • SKILL.md covers Capture first, Review checklist and Result format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Visual regression testing

What it does

Visual QA is an agent skill from valkor-ai/loom. Inspect Godot screenshots or short frame sequences for acceptance issues. Use after capturing a scene, when checking camera framing, missing assets, UI overlap, collision visualization, animation, or a black/empty viewport.

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Game Development, covering Game development and Visual regression testing. It works with Godot. The repository describes itself as: Loop engineering for agentic software delivery. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Game development
  • Tasks that involve Visual regression testing

Example prompts

  • “/visual-qa”

What it can do on your machine

Read from SKILL.md and the folder at commit a30a7e6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Visual QA loads about 438 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~438

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from valkor-ai/loom at commit a30a7e6, republished under its Apache-2.0 licence (© valkor-ai). 205 words, ~438 tokens.

Download SKILL.mdSave it as .claude/skills/visual-qa/SKILL.md (or your agent's skills folder).
name
visual-qa
description
Inspect Godot screenshots or short frame sequences for acceptance issues. Use after capturing a scene, when checking camera framing, missing assets, UI overlap, collision visualization, animation, or a black/empty viewport.

Godot Visual QA

Visual QA is evidence review, not a style contest. Compare the capture with the task's acceptance criteria and report only issues that affect the requested behavior, visibility, composition, or operation.

Capture first

Use the screenshot skill or the Godot MCP screenshot tool. Wait for the scene to render before capturing. For motion, capture a reference frame followed by several frames at a fixed interval so movement can be checked.

Review checklist

  • The intended scene is running and the viewport is not black or empty.
  • The camera shows the requested objects at a usable scale.
  • Meshes, textures, lighting, and materials are present rather than placeholders when the task requires them.
  • Objects that should move or interact visibly change state between frames.
  • UI text and controls fit their containers and do not overlap the scene.
  • Collision shapes, bodies, and navigation behave consistently with the visual geometry when debug overlays are enabled.
  • Errors visible in the capture or reported by the runtime are recorded as evidence, not guessed away.

Result format

Record a short result in the Loom task evidence or handoff:

text
Verdict: pass | warning | fail
Evidence: <capture paths>
Observed: <what the frames show>
Issues: <file and location, or none>

Use fail for an acceptance-blocking issue, warning for a non-blocking defect, and pass only when the supplied criteria are visible in the capture.

© valkor-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/shared/loom/skills/godot/visual-qa of valkor-ai/loom.

Open the folder on GitHubat commit a30a7e6

Compare with similar skills

Visual QA next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Visual QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Visual QA this skillvalkor-ai/loom1.2k—~438Automated safety check: PassApache-2.0
Godogenliangdabiao/Godogen127—~1.5kAutomated safety check: PassMIT
Godot Agent Visionthedivergentai/GD-Agentic-Skills809—~3.5kAutomated safety check: PassLGPL-3.0
Godot Gdscript Patterns925236118/AlphaAgent10310 repos~5kAutomated safety check: PassMIT
2D Map and Scene Generator0x0funky/agent-sprite-forge4.3k—~2.9kAutomated safety check: PassMIT
Godot UI Containersthedivergentai/GD-Agentic-Skills8091 repos~3.7kAutomated safety check: PassLGPL-3.0

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Works with

Categories

Questions about Visual QA

What does Visual QA do?

Inspect Godot screenshots or short frame sequences for acceptance issues. Visual QA is an agent skill from valkor-ai/loom. Inspect Godot screenshots or short frame sequences for acceptance issues.

When should I use Visual QA?

Visual QA fits situations like: tasks that involve Game development; tasks that involve Visual regression testing.

How do I install Visual QA in Claude Code?

Run `npx skills add valkor-ai/loom --skill visual-qa -a claude-code`. Or copy the skill folder (plugins/shared/loom/skills/godot/visual-qa in valkor-ai/loom) into .claude/skills/visual-qa in your project. Claude Code loads it when a task matches its description.

How do I install Visual QA in Codex?

Run `npx skills add valkor-ai/loom --skill visual-qa -a codex`. Or copy the skill folder (plugins/shared/loom/skills/godot/visual-qa in valkor-ai/loom) into .agents/skills/visual-qa in your project. Codex loads it when a task matches its description.

Can I use Visual QA in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add valkor-ai/loom --skill visual-qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-qa, .gemini/skills/visual-qa, .github/skills/visual-qa and .opencode/skills/visual-qa in your project.

What does Visual QA need to run?

SKILL.md names no scripts, command-line tools or credentials: Visual QA is instructions for the agent only.

Does Visual QA access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Visual QA safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Visual QA use?

Visual QA is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Visual QA use?

About 438 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Visual QA?

Skills that share tags, products or a category with Visual QA: Godogen (liangdabiao/Godogen, 127 stars), Godot Agent Vision (thedivergentai/GD-Agentic-Skills, 809 stars), Godot Gdscript Patterns (925236118/AlphaAgent, 103 stars) and 2D Map and Scene Generator (0x0funky/agent-sprite-forge, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Visual QA?

valkor-ai (a GitHub organization) maintains it in valkor-ai/loom, which has 1,198 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: valkor-ai/loom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.