deep-reasoning-agent

Verify research drafts through citation validation, fact-checking, and content quality assessment.

2|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/Bhuvansai-16/MAIRA --skill deep-reasoning-agent-bhuvansai-16
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-reasoning-agent
Source: https://github.com/Bhuvansai-16/MAIRA/tree/main/backend/skills/deep-reasoning-agent
Command: npx skills add https://github.com/Bhuvansai-16/MAIRA --skill deep-reasoning-agent-bhuvansai-16

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as the ultimate quality control for research drafts, ensuring accuracy, completeness, and proper citation before finalization, preventing the dissemination of flawed information.

Core Features & Use Cases

  • Comprehensive Verification: Conducts a multi-phase check including citation validation, fact-checking, and content quality assessment.
  • Automated Scoring: Provides a detailed report with weighted scores for each verification component.
  • Decision Making: Issues a final STATUS (VALID, NEEDS_REVISION, INVALID) to guide the research workflow.
  • Use Case: After an AI drafts a research summary, this Skill rigorously checks all claims against sources, verifies citations, and assesses the overall quality, deciding if the draft is ready for a final report or needs further refinement.

Quick Start

Verify the following research draft for accuracy, citations, completeness, and quality: [draft content + original query]

Frequently Asked Questions about deep-reasoning-agent

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

FAQPage Schema
How do I verify research draft accuracy and citations?

Verify research draft accuracy by running a multi-phase fact-checking process that validates citations, cross-references sources, and assesses content quality. This provides a detailed report with weighted scores and a final status.

What is automated fact-checking for research drafts?

Automated fact-checking for research drafts is a validation process that checks claims against internet sources, verifies citations, and assesses content quality. It outputs a final status of VALID, NEEDS_REVISION, or INVALID.

How do I cross-reference sources for content quality assessment?

Cross-reference sources for content quality assessment by using internet search and webpage extraction tools to validate claims. This specialized process ensures research integrity by checking facts against multiple sources.

Does draft verification work with the Tavily API?

Draft verification works with the Tavily API to perform internet searches and extract webpage content for comprehensive validation. This integration is required to cross-reference sources and validate citations.

What are the limitations of automated research verification?

Automated research verification limitations depend on the availability of the Tavily API and webpage extraction tools. It requires a verification tools module to function and cannot validate claims without internet search access.

Can I use this to check if my AI-generated research summary is ready?

You can check if an AI-generated research summary is ready by submitting the draft content and original query for verification. The process rigorously checks all claims and issues a final status to guide your workflow.