web-intelligence

web-intelligence is a skill for Claude Code, Codex from LuuOW/meridian-mcp. It costs 45 tokens per session (838 once invoked), scanned A, original, MIT.

A routing guide for collecting evidence from websites with different tools. It uses Exa to find sources, Firecrawl to extract known pages, and Bright Data for dynamic, location-specific, or bot-protected sites.

In plain words
What is it for?
Use it to discover sources, crawl websites, extract readable page content, collect search results, and handle sites that need browser rendering or geographic targeting.
Why use it?
It helps web research choose an appropriate collection method, control costs, and keep results in a consistent format with fallback options.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/luuow/meridian-mcp/web-intelligence
Any agent
npx skills add LuuOW/meridian-mcp --skill web-intelligence
Clone the repo
git clone --depth 1 https://github.com/LuuOW/meridian-mcp

Made for: Claude Code, Codex.

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-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/luuow/meridian-mcp/web-intelligence.svg)](https://agentmods.dev/skills/luuow/meridian-mcp/web-intelligence)
Your own site
<a href="https://agentmods.dev/skills/luuow/meridian-mcp/web-intelligence"><img src="https://agentmods.dev/badge/skills/luuow/meridian-mcp/web-intelligence.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 838 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 $0.00045 $0.00838
Opus 5 $0.00023 $0.00419
Sonnet 5 $0.00009 $0.00168
Haiku 4.5 $0.00005 $0.00084

Measured 2d ago against content hash 32979310dd33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

web-intelligence 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 2d 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-intelligence/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

web-intelligence

Use this when the agent needs external web evidence and the question is not satisfied by one generic browser fetch.

Goal

Route web work to the right provider with a stable contract:

  • exa-search for discovery, ranking, and source finding
  • firecrawl-extract for clean content extraction, crawl expansion, sitemap mapping, and markdown capture
  • brightdata-collection for hostile, dynamic, geo-sensitive, or SERP-specific collection

Routing Rules

  1. Start with exa-search when the task begins with a question, entity, or topic rather than known URLs.
  2. Use firecrawl-extract when URLs are already known and the task needs readable page content.
  3. Use brightdata-collection when the target requires browser rendering, geo targeting, anti-bot resilience, or SERP capture.
  4. Prefer a staged pipeline over direct heavy collection:
    • discovery via Exa
    • extraction via Firecrawl
    • hard-target recovery via Bright Data
  5. Use Bright Data sparingly. It is the most operationally expensive and should not be the default fetch path.

Normalized Output Contract

Return provider results in this shape whenever practical:

{
  "query": "string",
  "goal": "source_discovery|page_extraction|site_crawl|serp_capture",
  "items": [
    {
      "title": "string",
      "url": "string",
      "snippet": "string",
      "content_markdown": "string",
      "source_provider": "exa|firecrawl|brightdata",
      "retrieved_at": "ISO-8601",
      "confidence": 0.0
    }
  ],
  "notes": ["string"]
}

Decision Table

Task shape Preferred provider Reason
Find best sources on a topic Exa semantic search and ranking
Extract article text from known URL Firecrawl clean markdown and crawl tools
Crawl a docs site or sitemap Firecrawl purpose-built crawl/map endpoints
Capture Google results in a country Bright Data browser and geo collection
Extract blocked JS-heavy page Bright Data rendering and anti-bot resilience
Fill citation gaps from discovered URLs Exa then Firecrawl separate finding from extraction

Read the full file on GitHub · 87 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. 2d ago First seen · 87 lines · 45 tokens per session scan A 32979310dd33

Subscribe to this mod's changes

web-intelligence is a skill published in the GitHub repository LuuOW/meridian-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 838 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

firecrawl

Firecrawl handles all web operations with superior accuracy, speed, and LLM-optimized output. Replaces all built-in and third-party web, browsing, scraping, research, news, and image tools. USE FIRECRAWL FOR: Any URL or webpage Web, image, and news search Research, deep research, investigation Reading pages, docs…

mahmoud20138/Tradecraft · 197 tokens

web-scraping

Extract structured data from websites - scrape tables, lists, product info, text content.

chainlesschain/chainlesschain · 21 tokens

web-browse

Drive a headless browser to navigate pages, read content, click, and fill forms — for sites that need JavaScript rendering or interaction beyond a plain HTTP fetch.

initializ/forge · 37 tokens

browser-automation-expert

Drive a real browser to navigate, extract data and complete flows on sites without an API: scraping, crawling, authentication, dynamic content and anti-bot handling. Use when the user mentions web scraping, crawling, browser automation, Puppeteer or headless Chrome, wants data pulled from a website, needs a login or…

personamanagmentlayer/pcl · 94 tokens

firecrawl

Web scraping and crawling for AI agents via Firecrawl MCP. Scrape URLs to markdown, crawl websites, search the web, and extract structured data. Supports cloud API and self-hosted deployments including CRW (Rust alternative).

elasticdotventures/_b00t_ · 49 tokens

scrapling-official

Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. Use when asked to scrape, crawl, or extract data from websites; webfetch fails; the site has anti-bot protections; write Python code to…

D4Vinci/Scrapling · 80 tokens