paper-reviewer

Cross-check academic drafts against YAML plans and source data.

Updated Nov 25, 2025
One-click install
npx skills add https://github.com/NikhilVijayakumar/Yantra --skill paper-reviewer-nikhilvijayakumar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-reviewer
Source: https://github.com/NikhilVijayakumar/Yantra/tree/main/.agent/skills/paper-reviewer
Command: npx skills add https://github.com/NikhilVijayakumar/Yantra --skill paper-reviewer-nikhilvijayakumar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill acts as an academic peer reviewer that ensures final drafted prose is factual, properly formatted, and aligned with original analysis and YAML plans, reducing hallucinations and inconsistencies.

Core Features & Use Cases

  • Fact-checking against source data: Cross-verify technical claims, metrics, and references in drafts.
  • Consistency and formatting enforcement: Ensure adherence to required tone, structure, and citation style.
  • Verification workflow: Output a finalized, verified section or a corrections list ready for revision, suitable for research documentation.

Quick Start

Provide the drafted section along with the original plan and analysis so I can verify accuracy and return a corrected, finalized draft.

Frequently Asked Questions about paper-reviewer

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

FAQPage Schema
How do I fact-check drafted academic sections against original source data?

To fact-check drafted academic sections, provide the drafted text alongside the original YAML plan and synthesized analysis to cross-verify technical claims, metrics, and references. This strict cross-checking with source data prevents hallucinations and ensures rigorous factual alignment across citations and figures.

What is the best way to enforce ESWA-compliant tone and structure in research manuscripts?

The best way to enforce ESWA-compliant tone and structure is through automated peer-review verification. This process enforces required formatting and citation style while cross-checking claims with source data, ensuring formal tone across citations and figures in research manuscripts.

How do I prevent hallucinations in drafted academic reports?

To prevent hallucinations in drafted academic reports, perform strict cross-checking of claims with source data. By validating drafted prose against the original YAML plan and synthesized analysis, you can prevent factual inconsistencies and ensure rigorous factual alignment.

Does this peer-review workflow work with YAML plans for research documentation?

Yes, this peer-review workflow works directly with YAML plans for research documentation. It revises and validates drafted academic sections against the original YAML plan and synthesized analysis to ensure factual alignment and formal tone.

What are the limitations of using automated fact-checking for academic drafts?

The limitations of automated fact-checking for academic drafts include the strict requirement for original YAML plans and synthesized analysis data. Without providing these specific source inputs, the system cannot perform cross-checking of claims or enforce ESWA-compliant tone and structure.