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.
npx skills add jerseycheese/agent-skills --skill visual-crawlgit clone --depth 1 https://github.com/jerseycheese/agent-skillsWrote 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.
[](https://agentmods.dev/skills/jerseycheese/agent-skills/visual-crawl)<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="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.06569 |
| Opus 5 | $0.00049 | $0.03284 |
| Sonnet 5 | $0.00020 | $0.01314 |
| Haiku 4.5 | $0.00010 | $0.00657 |
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 8d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 524 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
bdginstalled 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:
- Project URL (e.g.,
http://localhost:4173) - Route list — discover from router config or ask the user
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 by default)
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
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.
- 8d ago First seen · 524 lines · 98 tokens per session scan A 64111bb9573e
visual-crawl is a skill published in the GitHub repository jerseycheese/agent-skills (1 stars, last pushed 6d ago), licensed MIT. It adds 98 tokens to every session and 6,569 once invoked, about $0.0005 per session on Opus 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.
Other skills, from other repositories
visual-validation
Every UI change should be visually verified before it ships. Peekaboo captures pixel-accurate screenshots. The system compares before/after and flags visual regressions. No manual "looks good to me" — the machine verifies what the machine built.
lamina-verify
Verify graph-backed product Missions after ordinary implementation work or when explicitly invoked as lamina-verify. Run isolated Persona and live UI audits; explicit verification is source-read-only.
ui-test
Runs UI tests described in plain English by driving real Chrome via the Claude-in-Chrome extension. Covers end-to-end flows (clicks, forms, assertions), visual checks (screenshot + optional baseline diff), accessibility (axe-core), performance (Web Vitals + light Lighthouse-style metrics), and an interactive --debug…
browser-qa
Automated visual testing and browser interaction verification.
audit-ui-e2e
Runs a beginner-mind end-to-end UI audit of any running app — local dev server, staging, production, or a specific URL. Drives Chrome through every interactive element on the target surface, collects structured findings (severity, category, where, symptom, impact, repro, triage), and hands the result off to…
capture-screens
Automatically navigates a web app using Playwright MCP and captures context-aware named screenshots at each product feature state. Names each file semantically based on context (e.g., checkout-payment-form-filled.png). Outputs a manifest.json mapping filenames to descriptions and a summary report. Use when documenting…