sci-agent-review

Screens scientific manuscripts for methodological rigor and ethical pitfalls.

1|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/smestern/sciagent --skill sci-agent-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sci-agent-review
Source: https://github.com/smestern/sciagent/tree/main/dist/sciagent/skills/review
Command: npx skills add https://github.com/smestern/sciagent --skill sci-agent-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires [], and includes scripts (resource) and references (resource) components.

What problem does it solve?

The sci-agent-review skill addresses the problem of thorough scientific text analysis by automatically checking for rigorous scientific methods and common pitfalls that may lead to errors.

Core Features & Use Cases

  • Rigor Checks: Ensures adherence to scientific best practices in text.
  • Nuance Detection: Alerts users to potential issues that may not be caught by basic checks.
  • Use Case: When reviewing a research manuscript, the skill can scan for missing uncertainty quantification, silent data exclusions, and reproducibility issues that could impact the integrity of the study.

Quick Start

Analyze your manuscript using sci-agent-review to ensure scientific rigor.

Frequently Asked Questions about sci-agent-review

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

FAQPage Schema
How do I check my research manuscript for scientific rigor and analysis validity?

To check scientific rigor and analysis validity, you can use automated text review to scan manuscripts for missing uncertainty quantification, silent data exclusions, and reproducibility issues that impact data integrity.

What is scientific text review for data integrity?

Scientific text review for data integrity is an automated analysis process that checks research documents against domain-specific scientific frameworks to identify common pitfalls and ensure adherence to best practices.

Can I detect silent data exclusions and reproducibility issues in my research text?

Yes, you can detect silent data exclusions and reproducibility issues by applying automated rigor checks that alert you to potential nuances and errors often missed by basic manuscript reviews.

Do I need domain-specific knowledge to perform automated scientific analysis checks?

Yes, performing automated scientific analysis checks requires knowledge of scientific principles and common research practices to effectively identify issues related to data integrity and research validity.

What is the best way to catch overlooked nuances in scientific methods?

The best way to catch overlooked nuances in scientific methods is using automated rigor checks that apply domain-specific frameworks to evaluate text for strict adherence to research validity standards.

When should I use an automated scientific text analysis tool instead of manual review?

You should use automated scientific text analysis when reviewing lengthy research manuscripts to efficiently catch common pitfalls, verify data integrity, and ensure reproducibility across complex domain-specific frameworks.