research-web

Conduct web research with cross-source validation and structured context injection.

224|27|Updated May 12, 2026
One-click install
npx skills add https://github.com/WrongStack/WrongStack --skill research-web-wrongstack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-web
Source: https://github.com/WrongStack/WrongStack/tree/main/packages/core/skills/research-web
Command: npx skills add https://github.com/WrongStack/WrongStack --skill research-web-wrongstack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Organizations and agents often rely on outdated knowledge; this skill provides a disciplined workflow to gather current data from the web to verify claims beyond the model's training cutoff.

Core Features & Use Cases

  • Disciplined discovery: decide when and how to search and select authoritative sources.
  • Cross-source validation: require multiple sources before making a claim.
  • Structured injection: inject findings into context for reuse via the context_manager.
  • Workflow patterns: supports Quick Lookup, Deep Investigation, and Landscape Survey.

Quick Start

Trigger a quick lookup by performing a web_search for your topic, fetch the top results, and inject a structured summary into context using context_manager.

Frequently Asked Questions about research-web

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

FAQPage Schema
How do I verify live data from the web beyond a model's training cutoff?

Disciplined web research applies cross-source validation by requiring multiple authoritative sources before making a claim. This prevents relying on a single potentially outdated web_fetch result when verifying API deprecations or ecosystem changes.

What is the best way to check for recent API deprecations and version updates?

Yes, structured injection via context_manager allows you to reuse verified web research findings across your workflow. This maintains live-data context by injecting structured summaries obtained from web_search and web_fetch directly into the agent's working memory.

When should I use a deep investigation workflow instead of a quick lookup for web research?

Stop rules in web research determine when to cease fetching additional sources during deep investigations or landscape surveys. They prevent infinite search loops by setting clear boundaries once sufficient authoritative sources have been cross-validated.

Can I execute a landscape survey to compare current tools and frameworks?

Cross-source validation in web research means requiring multiple independent sources to confirm a claim before accepting it. This disciplined approach ensures that live-data regarding version checks or API deprecations is accurate and not an isolated anomaly.