visual-crawl

visual-crawl is a skill for Claude Code from jerseycheese/agent-skills. It costs 59 tokens per session (8,723 once invoked), scanned A, original, MIT.

A visual quality check for a running web app that visits pages at different screen sizes, takes screenshots, and checks interactive elements and design consistency. Visual QA means checking how an interface looks and behaves, not just whether its code runs.

In plain words
What is it for?
Use it to audit a site before release, review responsive layouts, check screenshots for visual bugs, and test page interactions.
Why use it?
It helps find layout problems, visual regressions, and broken interactions that ordinary tests may miss. Different runs inspect different parts of the app.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the workflow-skills plugin — 35 skills shipped together

Good fit Use it to audit a site before release, review responsive layouts, check screenshots for visual bugs, and test page interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jerseycheese/agent-skills/visual-crawl
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 jerseycheese/agent-skills --skill visual-crawl
Clone the repo
git clone --depth 1 https://github.com/jerseycheese/agent-skills

Made for: Claude Code.

Or install workflow-skills, the plugin that ships this one along with the rest of its 35 skills.

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-crawl

README.md
[![agentmods](https://agentmods.dev/badge/skills/jerseycheese/agent-skills/visual-crawl/github.svg)](https://agentmods.dev/skills/jerseycheese/agent-skills/visual-crawl)
Your own site
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/visual-crawl"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/visual-crawl/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-crawl

Your own site · 80×15
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/visual-crawl"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/visual-crawl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,723 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 $0.00059 $0.08723
Opus 5.5 $0.00024 $0.03489
Sonnet 5.5 $0.00012 $0.01745
Haiku 4.5 $0.00006 $0.00872

Measured today against content hash c2a0a3bb5e8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

visual-crawl 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 today.

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.

skills/visual-crawl/SKILL.md · 630 lines

How it starts

The opening of the file, as written. The whole thing — 630 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Visual Crawl

Randomized visual QA using bdg (browser-debugger-cli). Opens the project, crawls pages at varied breakpoints, screenshots issues, and produces a findings report. No two runs cover the same ground.

Prerequisites

  • bdg installed globally (npm install -g browser-debugger-cli@alpha)
  • Project dev server running (know the URL and port)
  • macOS tiling WM users (AeroSpace, yabai, etc.): after --no-headless, float the browser window to free its viewport

Invocation

User says /visual-crawl or asks for a visual QA pass. Before starting, confirm:

  1. Project URL (e.g., http://localhost:4173)
  2. Route list — discover from router config or ask the user
  3. Dynamic/parameterized routes (/items/[id], /users/:id, etc.) — do any exist, and do they need seeded data to render real content instead of a 404 or empty state? See "Seeding data for dynamic routes" in Phase 0 below.

For keyboard-navigated apps (sections accessed via key bindings rather than URL routing), ask the user for the key-to-section mapping and use bdg dom pressKey to navigate.

The Crawl

Phase 0: Setup

# Check for existing session first
bdg status 2>&1 || true

# Start bdg session (headless only when there is no display; on a Mac it opens a window)
bdg <project-url>

# Create screenshot output directory
OUTDIR="/tmp/visual-crawl-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$OUTDIR"

Store $OUTDIR path — all screenshots go here.

Target-identity guard. bdg attaches to a Chrome instance, and its active target can silently drift to another open tab between commands — you reload and suddenly you're screenshotting a different app on a different port. A URL check isn't enough (two apps can share a path). Before the crawl and before every screenshot, confirm the page is the app you mean by a stable marker — document.title, an app-specific selector, or both — and abort on mismatch rather than capturing the wrong app:

# Set EXPECT to a substring unique to this app's title (or use an app-only selector)
EXPECT="MyApp"
guard() {
  t=$(bdg dom eval "document.title" 2>&1 | tail -1)
  echo "$t" | grep -q "$EXPECT" || { echo "WRONG TARGET ($t) — bdg drifted; stop, restart on the right URL, re-pin"; return 1; }
}
guard || exit 1

Read the full file on GitHub · 630 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. today Changed · +63 lines c2a0a3bb5e8a
  2. 9d ago Changed 182790017150
  3. 10d ago Changed d7b419cab10e
  4. 21d ago Changed · -2 lines · -39 tokens per session 13b11c2f2aff
  5. 1mo ago Changed · +45 lines 33025b5248a2
  6. 2mo ago First seen · 524 lines · 98 tokens per session scan A 64111bb9573e

Subscribe to this mod's changes

visual-crawl is a skill published in the GitHub repository jerseycheese/agent-skills (4 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 8,723 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 2026-08-31.

Related

visual-crawl compared with skills from other repositories

visual-crawl next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
visual-crawljerseycheese/agent-skillsSkill4yesterdayMITA59Claude Code
figmaAceDataCloud/SkillsSkill17yesterdaynoneA59Claude Code
qa-test-plannerdavila7/claude-code-templatesSkill33kyesterdayMITA34Claude Code, Codex
omh-apple-designrlaope/oh-my-hermesSkill5.2kyesterdayMITA83Claude Code, Codex
critiqueplugin87/ux-ui-agent-skillsSkill3.1k10d agoMITA37Claude Code
running-livekit-simulationsfcakyon/claude-codex-settingsSkill1.2kyesterdayApache-2.0A183Claude Code
email-designfcakyon/claude-codex-settingsSkill1.2kyesterdayApache-2.0A57Claude Code