forge-web-search

Guide AI agents through credible web research with bounded fetching and citation verification.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-web-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forge-web-search
Source: https://github.com/f4rkh4d/forge-skill/tree/main/skills/research/forge-web-search
Command: npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-web-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill prevents AI coding agents from treating unverified web snippets as facts by enforcing disciplined search, source triage, bounded fetching, and citation hygiene.

Core Features & Use Cases

  • Query construction and iteration: Prefer specific terms, exact phrases, site/date filters, and iterative refinement based on results.
  • Credibility-based source triage: Rank sources with an explicit credibility hierarchy and skip SEO-spam and AI-laundered content.
  • Fetch-vs-snippet decisions with budgets: Avoid fetching unless needed, enforce caps on search and fetch loops, deduplicate visited URLs, and respect robots/rate limits.
  • Citation and anti-hallucination safeguards: Require verifiable URL resolution, exact quote matching, and access/publication date notes.
  • Constrained synthesis with conflicts surfaced: Synthesize from noise-filtered sources and highlight contradictions when they appear.
  • Worked agent loop and verifier: Includes an end-to-end reference loop and a shell verifier that flags unbounded loops and unchecked quoting.

Quick Start

Ask your agent to use forge-web-search when it needs online research, such as verifying Postgres documentation details before writing code or explaining an API behavior.

Frequently Asked Questions about forge-web-search

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

FAQPage Schema
How do I prevent my AI agent from citing SEO spam during web research?

Prevent AI agents from citing SEO spam by applying a credibility-based source triage that ranks sources via an explicit hierarchy and skips AI-laundered content. This noise-resistant synthesis ensures only trustworthy, verified information is used.

What is the best way to enforce citation hygiene when an AI agent fetches web pages?

The best way to enforce citation hygiene is to require verifiable URL resolution, exact quote matching, and access/publication date notes. A dedicated verifier flags unchecked quoting and unbounded fetch loops to maintain strict standards.

How does an AI agent handle unverified web snippets without hallucinating facts?

An AI agent handles unverified web snippets by applying bounded fetching, visited-URL deduplication, and counter-search for consequential claims. Constrained synthesis then surfaces contradictions to prevent treating unverified snippets as facts.

Can I use bounded fetch budgets to stop infinite search loops in coding agents?

Yes, you can stop infinite search loops by enforcing strict iteration and fetch budgets. A dedicated shell verifier actively flags unbounded loops, ensuring agents fetch only what is necessary and respect rate limits.

Does web research for coding agents need exact quote and URL verification?

Yes, web research for coding agents requires exact quote and URL verification to prevent hallucinations. Enforcing verifiable URL resolution and exact quote matching guarantees that citations point to real, accessible sources.