How does it handle failed URL fetches or 404 errors?

Instead of proceeding blindly, the skill triggers a mandatory acknowledgment phase where the agent must document the failure and propose an alternative recovery strategy or source.

When should I activate this skill?

Activate it whenever a task involves three or more tool interactions, especially those involving web searches, reading multiple URLs, or complex file operations.

What is cross-source validation in this context?

It is a protocol where the agent explicitly compares findings from multiple sources to identify consensus, contradictions, or remaining information gaps before finalizing a report.

What does this skill actually improve?

It improves the reliability and depth of research tasks by forcing the agent to handle tool errors, validate search results, and verify sources before drawing conclusions.

How does it prevent AI hallucinations?

It mandates source tracking and traceability, ensuring the agent only cites information from successfully retrieved and read URLs or files, prohibiting citations for unretrieved content.

Comprehensive Research Agent

Name: Comprehensive Research Agent
Author: muratcankoylan

bymuratcankoylan

•

7,304

Web Scraping & Data Collection

Ensures high-fidelity web research through structured source validation, error recovery protocols, and transparent reasoning cycles.

About

The Comprehensive Research Agent skill optimizes Claude's ability to perform complex, multi-step information gathering tasks by enforcing rigorous validation checkpoints and error handling strategies. It prevents common AI failures like citing unretrieved sources or ignoring 404 errors by requiring explicit recovery protocols and substantive thinking blocks. Ideal for developers and researchers building agentic workflows, this skill improves the reliability of search operations, ensures cross-source verification, and maintains a clear audit trail of gathered data for production-grade agent systems.

Key Features

File content verification via read-after-write checks
Cross-source validation for verifying key claims
Source traceability to prevent citation hallucinations
Substantive thinking blocks for transparent reasoning
7,304 GitHub stars
Mandatory error recovery protocols for tool failures

Use Cases

Building reliable multi-agent systems that require high-integrity context management.
Automated data collection and validation for market analysis or competitor research.
Deep-dive technical research requiring multiple search queries and documentation review.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add muratcankoylan/agent-skills-for-context-engineering comprehensive-research-agent

For use in Claude.ai and ChatGPT

Download Skill

GitHub