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Ultimate Browsing

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code-yeongyu
ultimate-browsing

Renders, drives, and screenshots web pages: JS-rendered sources, clicks and forms, persistent logins, WAF-blocked hosts (platform-native readers, stealth Chrome), and the browsing lane of a research run, with screenshots as provenance. Not for plain search or unblocked static fetch.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill nameultimate-browsing
Stars
69.1K
Forks
5.7K
Bundled files
50
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 50 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Ultimate Browsing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/packages/shared-skills/skills/ultimate-browsing .claude/skills/ultimate-browsing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ultimate Browsing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ultimate Browsing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ultimate Browsing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ultimate Browsing

Web access for everything a plain fetch cannot finish: a page that renders in JS, a click or a form, a screenshot, a login that must persist across pages, or a host that blocks generic fetchers (WAF / 403 / Cloudflare). Start at the cheapest tier that can do the job and climb only when it cannot:

Tier 1 — insane-search (headless extraction + WAF bypass) -> Tier 1.5 — agent-reach (platform-native APIs, esp. Chinese platforms) -> Tier 2 — a real browser: 2a Bun.WebView, 2b a local-Chrome playwright-core script from js eval for Chrome semantics, stealth, trace, or auth.

PHASE 0 — ROUTE FIRST (MANDATORY)

User request
  |
  +- extract text/data from a URL --------------------- TIER 1  insane-search
  +- URL blocked / 403 / Cloudflare / WAF ------------- TIER 1  insane-search
  +- YouTube/Vimeo/TikTok subtitles or metadata ------- TIER 1  insane-search (yt-dlp)
  +- read an article / blog / Reddit / HN / arXiv ----- TIER 1  insane-search
  |
  +- Chinese platform (xhs/douyin/weibo/bilibili/v2ex/wechat)  TIER 1.5 agent-reach
  +- podcast transcript / stock forum ----------------- TIER 1.5 agent-reach
  +- Twitter feed / LinkedIn profile / GitHub via CLI - TIER 1.5 agent-reach
  |
  +- Tier 1/1.5 returned empty or partial ------------- TIER 2  2a kernel browser -> 2b stealth
  +- click / fill form / scroll / interact ------------ TIER 2  2a kernel browser -> 2b stealth
  +- screenshot / render / play video ----------------- TIER 2  2a kernel browser -> 2b stealth
  +- login session across pages / inject cookies ------ TIER 2  2b Chrome stealth (profile + cookies)
  +- test web app / QA / dogfood ---------------------- TIER 2  2a kernel browser -> 2b stealth
  |
  +- simple search query ------------------------------ NOT this skill (use web-search)

Read the matching reference before acting: references/insane-search/README.md, references/agent-reach/README.md, or references/chrome-stealth.md.

Tier 1 — insane-search (headless extraction)

When: content extraction, blocked-URL bypass, media metadata — no browser UI needed. Why first: ~10x faster than a browser, no process spin-up; handles most "fetch this blocked page" requests via curl_cffi TLS impersonation, yt-dlp (1858 sites), official public APIs, mobile URL transforms, Phase-2.5 surrogate archives (Wayback / archive.today snapshots, provenance-tagged — see references/insane-search/cache-archive.md), a key-gated Jina Reader (JINA_API_KEY), and a Playwright real-Chrome fallback. The engine lives inside this skill at engine/ and is invoked as a module. Surrogate results are dated COPIES: a result whose provenance is snapshot must be reported with its snapshot_timestamp, never presented as the live page.

bash
# Core command — auto-detects WAF, runs the full fetch grid (run from the skill dir):
python3 -m engine "https://example.com/blocked-page"
#   add --selector "<CSS>" for positive-proof validation, --device auto|desktop|mobile,
#   --trace to inspect every attempt, --json for machine-readable output.

# YouTube subtitles / metadata (no browser):
yt-dlp --write-sub --write-auto-sub --sub-lang "en,ko" --skip-download -o "/tmp/%(id)s" "<URL>"

# Reddit / HN / Bluesky / arXiv etc. use official public endpoints — see the Phase 0 index in
# references/insane-search/README.md (Twitter syndication, Reddit .json, HN Firebase, ...).

The full engine harness (rules R1-R7, the Phase 0 official-API index, the no-site-name rule, and the references/insane-search/*.md deep-dives for TLS, Playwright routing, Naver, media, etc.) is in references/insane-search/README.md. Read it before tuning the engine or adding a WAF profile.

Escalate to Tier 1.5 or Tier 2 when

  • The target is a Chinese / social platform with a native reader -> Tier 1.5.
  • insane-search returns empty/partial, or the page needs JS interaction, a screenshot, a persistent login, or media playback -> Tier 2.

Tier 1.5 — agent-reach (platform-native readers)

When: the target is a platform with a first-class API/CLI that beats generic fetching — especially Chinese platforms that stealth browsers still cannot reach cleanly. Several channels are zero-config (Douyin, V2EX, Reddit, RSS, YouTube); others need a one-time auth you supply via environment variables if you have access (JINA_API_KEY for Jina Reader — anonymous access is dead, see references/insane-search/jina.md; TWITTER_* for X; a transcription key for podcasts).

CategoryPlatformsEntry
socialxhs (Xiaohongshu), douyin, weibo, bilibili, V2EX, Reddit, Twitter/Xreferences/agent-reach/social.md
webJina Reader, WeChat articles, RSSreferences/agent-reach/web.md
videoYouTube, Bilibili, podcast transcripts, Douyin videoreferences/agent-reach/video.md
careerLinkedInreferences/agent-reach/career.md
devGitHub (gh CLI)references/agent-reach/dev.md
searchExa AIreferences/agent-reach/search.md
bash
mcporter call 'douyin.parse_douyin_video_info(url: "<URL>")'   # douyin, zero-config
curl -s "https://r.jina.ai/https://weibo.com/<uid>/<pid>"      # weibo via Jina
yt-dlp --dump-json "<bilibili-url>"                            # Bilibili (overseas: add --cookies-from-browser)
curl -s "https://www.v2ex.com/api/topics/hot.json"            # V2EX public API

Routing table, per-platform auth (set TWITTER_* env vars, gh auth login, a transcription key — only if you have access), rate-limit notes, and known version quirks are in references/agent-reach/README.md.

Tier 2 — a real browser (real interaction)

When: real interaction is needed (clicks, forms, screenshots, video, persistent login), or Tier 1/1.5 failed.

Tier 2a — kernel browser (default)

Use new Bun.WebView() from the js-eval kernel on Bun >= 1.4: macOS defaults to system WebKit; Linux/Windows need installed Chrome/Chromium/Edge. WebView is headless, WebKit has no CDP, and type() emits no keyboard events. For other kernels or when those differences matter, use 2b.

js
const view = new Bun.WebView({ width: 1280, height: 800 })
try {
  await view.navigate(url)
  const title = await view.evaluate("document.title")
  await Bun.write(pngPath, await view.screenshot())
} finally {
  view[Symbol.dispose]()
}

Use 2b for real-Chrome semantics, stealth, trace, authenticated profiles, or a page the kernel browser cannot reach.

Tier 2b — Chrome stealth (blocked or logged-in pages)

WRITE a playwright-core script and run it from js eval against installed local Chrome: chromium.launch({ channel: "chrome" }), or launchPersistentContext on a task-owned profile. For authenticated state, CLONE the user's profile first (rsync -a <profile>/ <tmp-clone>/); NEVER launch against or clear cookies/cache/site data from the live profile. Codex: prefer browser:control-in-app-browser for ordinary page control.

Keep the engine's Playwright templates for script-based extraction. Stealth is optional: the user installs playwright-extra + puppeteer-extra-plugin-stealth once in the engine directory and the script wraps the playwright-core browser type. Setup, persistent-context arguments, screenshots, and cleanup are in references/chrome-stealth.md. A stealth flag is not proof of access: inspect the rendered result and report challenges that remain.

Cookie login (cross-platform)

scripts/extract_cookies.py reads cookies from a local Chromium-family or Firefox-family browser and optionally injects them into the running CDP session. It resolves browser profile paths and decrypts cookie values per-OS (macOS Keychain, Linux libsecret, Windows DPAPI):

bash
# Extract cookies to a file:
mkdir -p ~/.local/state/omo-cookies
python3 scripts/extract_cookies.py --browser chrome --domain youtube.com --output ~/.local/state/omo-cookies/youtube.cookies.json
# Extract and inject into the running CDP session:
python3 scripts/extract_cookies.py --browser chrome --domain youtube.com --inject --cdp 9242

Cookie export files are written with owner-only 0600 permissions. Do not place live auth cookies in shared temp directories or commit them to a repo. Cookie injection sends values to CDP over stdin rather than argv. Cookies apply on next navigation — reload after injecting. Google services use fingerprint-bound tokens that may not transfer across browser profiles. Full detail in references/chrome-stealth.md.

Reference docs

FileWhen to read
references/insane-search/README.mdTier-1 engine harness (R1-R7, Phase 0 API index, no-site-name rule) + its *.md deep-dives
references/agent-reach/README.mdTier-1.5 routing table, platform auth, per-category *.md
references/chrome-stealth.mdTier-2 playwright-core scripts, optional stealth setup, cloned profiles, cookie login

Environment variables

bash
# agent-reach auth: set the channel-specific env vars from each tool's docs only if you have access
# insane-search needs no env vars — it auto-installs deps on first run

Anti-patterns

  • Do NOT launch Chrome stealth for plain text extraction — use Tier 1.
  • Use stealth plugins only in an explicitly installed script environment, not injected into WebView.
  • Close every WebView/browser context when done and remove only task-owned profile clones.
  • Do NOT inject cookies without reloading the page.
  • Do NOT hardcode site domains/selectors into engine/** or waf_profiles.yaml — runtime hints only (see the no-site-name rule in the insane-search reference).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ultimate Browsing AI skill do?

Renders, drives, and screenshots web pages: JS-rendered sources, clicks and forms, persistent logins, WAF-blocked hosts (platform-native readers, stealth Chrome), and the browsing lane of a research run, with screenshots as provenance. Not for plain search or unblocked static fetch.

Why use Ultimate Browsing on TypingMind?

Because you install it once and use it with any model. Ultimate Browsing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ultimate Browsing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/packages/shared-skills/skills/ultimate-browsing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ultimate Browsing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ultimate Browsing?

As many as you like. As long as a model supports skills, you can use Ultimate Browsing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ultimate Browsing AI skill free?

It is published on GitHub by code-yeongyu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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