web-research

web-research is a skill for Claude Code from Crawlio-app/crawlio-browser. It costs 26 tokens per session (1,831 once invoked), scanned A, original, Apache-2.0.

A structured method for researching websites, auditing their quality, and comparing competitors using collected evidence.

In plain words
What is it for?
Use it for performance, search-engine optimization, security, accessibility, technology-stack, trust-signal, conversion-flow, and multi-page data research.
Why use it?
It organizes research into acquiring page data, making it consistent, and analyzing it, reducing scattered or unsupported findings.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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.

agentmods
npx agentmods add skills/crawlio-app/crawlio-browser/web-research
Any agent
npx skills add Crawlio-app/crawlio-browser --skill web-research
Clone the repo
git clone --depth 1 https://github.com/Crawlio-app/crawlio-browser

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 web-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/crawlio-app/crawlio-browser/web-research.svg)](https://agentmods.dev/skills/crawlio-app/crawlio-browser/web-research)
Your own site
<a href="https://agentmods.dev/skills/crawlio-app/crawlio-browser/web-research"><img src="https://agentmods.dev/badge/skills/crawlio-app/crawlio-browser/web-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.01831
Opus 5 $0.00013 $0.00915
Sonnet 5 $0.00005 $0.00366
Haiku 4.5 $0.00003 $0.00183

Measured 6d ago against content hash 00f0fa69162f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

web-research 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 6d 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.

skills/web-research/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Research Protocol

When to Use

Use this skill when the user wants to:

  • Audit a website (performance, SEO, security, accessibility, tech stack)
  • Compare competitors or analyze multiple sites
  • Conduct structured web research with evidence
  • Review site quality, trust signals, or conversion flows
  • Extract structured data across multiple pages

Protocol: Acquire → Normalize → Analyze

Every research task follows three phases:

Phase 1: Acquire

Connect to each target page and extract comprehensive data using smart.extractPage():

// Connect first
await connect_tab({ url: "https://example.com", background: true })

// Extract everything in one call
const page = await smart.extractPage()
// Returns: { capture, performance, security, fonts, meta, accessibility, mobileReadiness, gaps }

For visual evidence, add smart.scrollCapture():

const visuals = await smart.scrollCapture({ maxSections: 5 })
// Returns: { sectionCount, sections: [{ index, scrollY, screenshot }] }

Wait for dynamic content with smart.waitForIdle() instead of sleep():

const idle = await smart.waitForIdle(5000)
// Returns: { status: 'idle' | 'timeout' }

Phase 2: Normalize

Structure evidence into canonical per-page records. Each page record should include:

const record = {
  url: page.capture.url,
  title: page.capture.title,
  framework: page.capture.framework,
  network: page.capture.network,        // { total, failed, byType, errors }
  console: page.capture.console,        // { total, errors, warnings }
  cookies: page.capture.cookies,        // { total, names }
  dom: page.capture.dom,                // { nodeCount, forms, links, images, inputs }
  performance: page.performance,        // LCP, CLS, FCP, Web Vitals
  security: page.security,             // TLS, cert, mixed content
  fonts: page.fonts,                   // declared + computed
  meta: page.meta,                     // OG tags, structured data, headings, nav links
  accessibility: page.accessibility,   // node count, landmarks, images without alt, heading structure
  mobileReadiness: page.mobileReadiness, // viewport meta, media queries, overflow
  gaps: page.gaps,                     // what data failed — check before trusting null fields
}

Read the full file on GitHub · 203 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. 6d ago First seen · 203 lines · 26 tokens per session scan A 00f0fa69162f

Subscribe to this mod's changes

web-research is a skill published in the GitHub repository Crawlio-app/crawlio-browser (6 stars, last pushed 27d ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,831 once invoked, about $0.0001 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.

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