visual-qa

visual-qa is a skill for Claude Code, Codex from daeryundf2-prog/LAZYANTIGRAVITY. It costs 212 tokens per session (3,734 once invoked), scanned A, original, MIT.

A visual checking process for web pages and terminal interfaces, also called TUIs. It captures screenshots or terminal output and compares them with reference evidence.

In plain words
What is it for?
Checking UI changes in websites, pages, and text-based terminal applications.
Why use it?
It catches visual problems that ordinary tests may miss before an interface is considered finished.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions OpenCode.

Good fit Checking UI changes in websites, pages, and text-based terminal applications.

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Install with agentmods
npx agentmods add skills/daeryundf2-prog/lazyantigravity/visual-qa
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add daeryundf2-prog/LAZYANTIGRAVITY --skill visual-qa
Clone the repo
git clone --depth 1 https://github.com/daeryundf2-prog/LAZYANTIGRAVITY

Made for: Claude Code, Codex.

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/daeryundf2-prog/lazyantigravity/visual-qa/github.svg)](https://agentmods.dev/skills/daeryundf2-prog/lazyantigravity/visual-qa)
Your own site
<a href="https://agentmods.dev/skills/daeryundf2-prog/lazyantigravity/visual-qa"><img src="https://agentmods.dev/badge/skills/daeryundf2-prog/lazyantigravity/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/daeryundf2-prog/lazyantigravity/visual-qa"><img src="https://agentmods.dev/badge/skills/daeryundf2-prog/lazyantigravity/visual-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 212 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,734 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 $0.00212 $0.03734
Opus 5.5 $0.00085 $0.01494
Sonnet 5.5 $0.00042 $0.00747
Haiku 4.5 $0.00021 $0.00373

Measured 1mo ago against content hash b4ff14a5b109, 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 1mo ago.

The scan reads SKILL.md. This mod also ships 15 executable files (scripts/ansi.test.ts, scripts/ansi.ts, scripts/cli.test.ts, …), 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.

shared-skills/skills/visual-qa/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Antigravity Tool Mapping (default)

This plugin defaults to Google Antigravity. Read ../references/antigravity-tools.md.

Intent Antigravity action
Explore / research / plan / implement / QA / review invoke_subagent + TASK/DELIVERABLE/SCOPE/VERIFY + role envelope
Wait / poll children Stay in parent; re-invoke incomplete lanes
Child model hint Pass Subagents[].Model: flash (plan/code/research), pro (verify), flash_lite (tiny chores), inherit

Use Antigravity tools only (invoke_subagent). Do not invent foreign spawn/wait/goal APIs or OpenCode kwargs.

Purpose and when to use

  • Use after you build or change any UI, before calling it done. Covers web/page UIs and TUI/terminal UIs.
  • Use when output must match a mock, a baseline, or a stated design intent; when you suspect a regression; when CJK (Korean/Japanese/Chinese) text may clip or misalign; when a claimed design system might actually be a flat image; when a terminal layout may overflow or its borders may break.
  • Skip when there is no rendered surface (pure backend or library logic with no visual or terminal output). For broad post-implementation review use review-work; this skill is the visual specialist.

In the commands below, $SKILL_DIR is this skill's own directory (the folder containing this SKILL.md). The bundled script lives at scripts/cli.ts inside it.

Step 1 - Detect the surface

  • Web/page UI: renders in a browser (HTML/CSS/JS, components, canvas, SVG). Evidence is screenshots.
  • TUI/terminal UI: renders as text in a terminal (box-drawing, panes, status lines, REPL/TUI apps). Evidence is terminal captures.

If the change touches both, run both capture tracks and feed both into the passes.

Empirical Vision & OCR Rules (Anti-Hallucination & Quota Independence)

  1. Mandatory Absolute Paths: Never pass vague or relative filenames (e.g. slide-01.png) when dispatching visual reviews. Without absolute paths (file:///absolute/path/to/img.png), models risk hallucinating plausible-sounding contents that do not exist.
  2. Verbatim Title / Label Quote Proof: Always instruct the reviewer: "Quote the exact title and main UI labels verbatim from the image." Mismatched quotes prove the image was not genuinely inspected.
  3. Quota Independence: Vision / OCR inspections consume the text token bucket, NOT the image generation capacity bucket (gemini-3.1-flash-image). Even if image generation encounters a 429 limit, visual QA loops continue to function at full capacity.

Read the full file on GitHub · 297 lines

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. 1mo ago Changed b4ff14a5b109
  2. 1mo ago First seen · 297 lines · 212 tokens per session scan A 52cbfc8de004

Subscribe to this mod's changes

visual-qa is a skill published in the GitHub repository daeryundf2-prog/LAZYANTIGRAVITY (14 stars, last pushed 7d ago), licensed MIT. It adds 212 tokens to every session and 3,734 once invoked, about $0.0008 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.

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