page-analysis

page-analysis is a skill for Claude Code from billy-enrizky/openbrowser-ai. It costs 66 tokens per session (2,053 once invoked), scanned C, original, MIT.

A web-page inspection guide for examining a page’s content, structure, layout, and interactive parts. It uses an automated browser to inspect pages, including pages whose content loads with JavaScript.

In plain words
What is it for?
Use it to analyze page layouts, inspect website structure, summarize page contents, and review interactive elements.
Why use it?
It helps turn an unfamiliar web page into a clear description of what is present and how it is organized. This avoids relying only on a quick visual glance.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the openbrowser plugin — 7 skills shipped together

Good fit Use it to analyze page layouts, inspect website structure, summarize page contents, and review interactive elements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/billy-enrizky/openbrowser-ai/page-analysis
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 billy-enrizky/openbrowser-ai --skill page-analysis
Clone the repo
git clone --depth 1 https://github.com/billy-enrizky/openbrowser-ai

Made for: Claude Code.

Or install openbrowser, the plugin that ships this one along with the rest of its 7 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 page-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/billy-enrizky/openbrowser-ai/page-analysis.svg)](https://agentmods.dev/skills/billy-enrizky/openbrowser-ai/page-analysis)
Your own site
<a href="https://agentmods.dev/skills/billy-enrizky/openbrowser-ai/page-analysis"><img src="https://agentmods.dev/badge/skills/billy-enrizky/openbrowser-ai/page-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,053 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00066 $0.02053
Opus 5 $0.00033 $0.01026
Sonnet 5 $0.00013 $0.00411
Haiku 4.5 $0.00007 $0.00205

Measured 8d ago against content hash 57389da42326, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

page-analysis scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Bash(openbrowser-ai:*) Bash(curl:*) Bash(uv:*) Bash(irm:*) Read Write
plugin/skills/page-analysis/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Page Analysis

Analyze and understand web page content, structure, and interactive elements using Python code execution. Produces a comprehensive breakdown of what is on the page and how it is organized.

All code runs via openbrowser-ai -c. The daemon starts automatically and persists variables across calls. All browser functions are async -- use await.

The CLI daemon also persists cookies and login state in ~/.config/openbrowser/profiles/daemon/storage_state.json, so authenticated sessions can be reused across later runs.

Setup

Before running, verify openbrowser-ai is installed:

openbrowser-ai --help

If not found, install:

# macOS/Linux
curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh

# Windows (PowerShell)
irm https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.ps1 | iex

Workflow

Step 1 -- Navigate and get overview

openbrowser-ai -c - <<'EOF'
await navigate("https://example.com")
state = await browser.get_browser_state_summary()
print(f"Title: {state.title}")
print(f"URL: {state.url}")
print(f"Interactive elements: {len(state.dom_state.selector_map)}")
print(f"Tabs: {len(state.tabs)}")
EOF

Step 2 -- Extract page metadata

openbrowser-ai -c - <<'EOF'
meta = await evaluate("""
(function(){
  return {
    title: document.title,
    description: document.querySelector("meta[name='description']")?.content,
    canonical: document.querySelector("link[rel='canonical']")?.href,
    ogTitle: document.querySelector("meta[property='og:title']")?.content,
    ogImage: document.querySelector("meta[property='og:image']")?.content,
    lang: document.documentElement.lang,
    charset: document.characterSet
  };
})()
""")

import json
print(json.dumps(meta, indent=2))
EOF

Step 3 -- Detect frameworks and technologies

openbrowser-ai -c - <<'EOF'
tech = await evaluate("""
(function(){
  const t = [];
  if (window.__NEXT_DATA__) t.push("Next.js");
  if (window.__NUXT__) t.push("Nuxt.js");
  if (document.querySelector("[data-reactroot]") || document.querySelector("#__next")) t.push("React");
  if (document.querySelector("[ng-version]")) t.push("Angular");
  if (window.jQuery) t.push("jQuery");
  if (window.Vue) t.push("Vue.js");
  if (document.querySelector("[data-svelte]")) t.push("Svelte");
  return t;
})()
""")
print(f"Technologies detected: {tech}")
EOF

Read the full file on GitHub · 254 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. 8d ago First seen · 254 lines · 66 tokens per session scan C 57389da42326

Subscribe to this mod's changes

page-analysis is a skill published in the GitHub repository billy-enrizky/openbrowser-ai (241 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 2,053 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

browser-use/browser-use · 26 tokens

opencli-autofix

Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through collecting a trace artifact, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.

jackwener/OpenCLI · 61 tokens

opencli-sitemap-author

Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo.

jackwener/OpenCLI · 67 tokens

opencli-browser-sitemap

Use when driving a website with opencli browser and sitemap context is available, requested, or needed to avoid blind navigation. Guides agents to consume site sitemap files lazily, choose adapter/browser fallback paths, resume from state signatures, and mark stale sitemap entries without trusting them over live…

jackwener/OpenCLI · 64 tokens

tiny-web-crawler

Crawl from one or more starting web pages, fetch readable content, search within pages, follow relevant links, and stop when the requested information is found or a bounded limit is reached.

leon-ai/leon · 42 tokens

pinchtab

Use this skill when a task needs browser automation through PinchTab: open a website, inspect interactive elements, click through flows, fill out forms, scrape page text, reuse a dedicated automation profile with user approval, export screenshots or PDFs, manage multiple browser instances, or fall back to the HTTP API…

pinchtab/pinchtab · 94 tokens