Godogen: Skill for Claude Code

.claude/skills/visual-qa/SKILL.md

visual-qa is a skill for Claude Code from liangdabiao/Godogen. It costs 40 tokens per session (1,324 once invoked), scanned A, original, MIT.

A visual checker for finding defects in game screenshots and comparing them with reference images or animation frames.

In plain words
What is it for?
It is for checking one screenshot, reviewing multiple frames for motion problems, or analyzing screenshots without a reference image.
Why use it?
It helps spot visual problems that may be missed during normal testing, including issues that appear only as a sequence changes.

Skill for Claude Code

Written for Claude Code: context: fork in frontmatter.

This is liangdabiao/Godogen's own configuration. It tells Claude Code how to work on Godogen itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Godogen configures →

Reuse

Borrowing it

Nothing to install: this file belongs to liangdabiao/Godogen. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/liangdabiao/Godogen/main/.claude/skills/visual-qa/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/liangdabiao/Godogen

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for visual-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/liangdabiao/godogen/visual-qa/github.svg)](https://agentmods.dev/skills/liangdabiao/godogen/visual-qa)
Your own site
<a href="https://agentmods.dev/skills/liangdabiao/godogen/visual-qa"><img src="https://agentmods.dev/badge/skills/liangdabiao/godogen/visual-qa/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for visual-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/liangdabiao/godogen/visual-qa"><img src="https://agentmods.dev/badge/skills/liangdabiao/godogen/visual-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,324 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01324
Opus 5.5 $0.00016 $0.00530
Sonnet 5.5 $0.00008 $0.00265
Haiku 4.5 $0.00004 $0.00132

Measured 2mo ago against content hash 76733e75f25a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

visual-qa scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/visual_qa.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/visual-qa/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Visual QA

$ARGUMENTS

CRITICAL: Your job is to find problems, not confirm things look fine. Do not rationalize, justify, or explain away what you see. If it looks wrong, report it.

Backend

  • Default (Gemini): Run the script below. All queries go to Gemini 3 Flash.
  • --native flag in arguments: Use Claude vision — read every image with the Read tool, analyze directly. Do NOT run the Gemini script.
  • --both flag in arguments: Run Gemini first, then do native analysis. Aggregate verdicts (details below).

Mode Detection

From the arguments — freeform text with file paths:

  • Reference image mentioned + 1 screenshot → Static mode
  • Reference image + multiple frames → Dynamic mode — frames are 0.5s apart (2 FPS cadence)
  • No reference, just a question about screenshots → Question mode

Gemini Execution

Parse the arguments to construct the command. The script is at ${CLAUDE_SKILL_DIR}/scripts/visual_qa.py.

# Static
python3 ${CLAUDE_SKILL_DIR}/scripts/visual_qa.py --log .vqa.log [--context "Goal: ... Requirements: ... Verify: ..."] reference.png screenshot.png

# Dynamic
python3 ${CLAUDE_SKILL_DIR}/scripts/visual_qa.py --log .vqa.log [--context "..."] reference.png frame1.png frame2.png ...

# Question
python3 ${CLAUDE_SKILL_DIR}/scripts/visual_qa.py --log .vqa.log --question "the question" screenshot.png [frame2.png ...]

Always pass --log .vqa.log. Print the script output as your response.

Native Execution

Read every image file referenced in the arguments using the Read tool. Analyze using the criteria and output format below. Never look at code — only images.

After producing output, append a debug log entry:

printf '%s\n' "$(cat <<'LOGEOF'
{"ts":"$(date -u +%Y-%m-%dT%H:%M:%SZ)","mode":"MODE","model":"native","query":"QUERY","files":["FILE1","FILE2"],"output":"FIRST_LINE..."}
LOGEOF
)" >> .vqa.log

Aggregated Mode (--both)

  1. Run Gemini script, capture output
  2. Read all images with Read tool, do native analysis using criteria below
  3. Produce combined verdict:
    • Either says fail → fail
    • Either says warning and neither fail → warning
    • Both pass → pass
  4. Merge issue lists from both, deduplicate by location + description
  5. Label each issue source: [gemini], [native], or [both]
  6. Log both outputs to .vqa.log

Read the full file on GitHub · 156 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 156 lines · 40 tokens per session scan A 76733e75f25a

Subscribe to this mod's changes

visual-qa is a skill published in the GitHub repository liangdabiao/Godogen (131 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 1,324 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

visual-qa compared with skills from other repositories

visual-qa next to 6 skills from other repositories
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visual-qaliangdabiao/GodogenSkill1316mo agoMITA40Claude Code
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godot-signals-groupsgamedev-skills/awesome-gamedev-agent-skillsSkill7.8k11d agoApache-2.0A95Claude Code
texture-workflowarjun988/blender-skillsSkill2.2k2d agoMITA41Claude Code
scenario-unreal-gameplayscenario-labs/skillsSkill3.5kyesterdayMITA121Claude Code
motionOpenDCAI/GameFactory-3ASkill1.0k10d agoApache-2.0A0Claude Code, Codex
unity-addressablesBesty0728/Unity-SkillsSkill1.9ktodayMITA25Claude Code, Codex