forger-real-search

Fetch and validate live web content to verify AI-generated claims.

1|Updated May 19, 2026
One-click install
npx skills add https://github.com/RyanDev1st/FORGER --skill forger-real-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forger-real-search
Source: https://github.com/RyanDev1st/FORGER/tree/main/skills/real_search
Command: npx skills add https://github.com/RyanDev1st/FORGER --skill forger-real-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright-cli, and includes references (resource) components.

What problem does it solve?

This skill eliminates AI hallucinations by forcing the agent to ground its claims in real-time, verified web content rather than relying on outdated training data or unverified search snippets.

Core Features & Use Cases

  • Progressive Content Retrieval: Efficiently fetches page data using a tiered SKIM, SCAN, and DEEP protocol to optimize token usage.
  • Strict Verification: Enforces verbatim quote validation and liveness checks to ensure data integrity.
  • Use Case: When an agent needs to verify the latest API documentation or technical specifications for a project, this skill fetches the live page, extracts the relevant section, and confirms the quote exists on the source page.

Quick Start

Invoke the forger-real-search skill with the target URL and the specific claim you need to verify against the live page content.

Frequently Asked Questions about forger-real-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify AI-generated claims against live web content to prevent hallucinations?

To verify AI claims against live web content, you can use a browser-driven protocol to fetch remote URLs, perform liveness checks, and enforce verbatim quote validation. This grounds AI outputs in real-time data rather than outdated training snippets.

How do I extract web page data efficiently without exceeding token limits during browser automation?

You can extract web page data efficiently using a tiered SKIM, SCAN, and DEEP protocol. This progressive content retrieval method optimizes token usage by reading pages in stages, ensuring you stay within strict token budgets while fetching live content.

Does Playwright support verbatim quote verification for live web scraping?

Yes, Playwright can be used to drive a protocol for live web scraping that enforces strict verbatim quote verification. It fetches the remote URL and validates that the exact quote exists on the source page to ensure data integrity.

What is the best way to check the liveness of remote URLs before extracting web scraping data?

The best way to check liveness is using a browser-driven protocol that enforces strict liveness checks before performing progressive content extraction. This ensures the remote URL is active and accessible before attempting to validate data.

Why does my AI agent rely on outdated training data instead of fetching current API documentation?

AI agents rely on outdated training data when they lack a grounding mechanism. You need a browser-driven protocol to fetch and validate live web content, ensuring the agent extracts the latest API specifications directly from the remote URL.