What is the primary purpose of Sibyl Contrarian?

Its primary purpose is to find counter-arguments, blind spots, and evidence that contradicts your current assumptions to help you build more robust projects.

How does it help in software development?

It can be used to find flaws in technical designs, identify security risks that others might miss, and challenge the feasibility of a proposed software solution.

Does this skill require specific MCP servers?

Yes, it utilizes MCP servers for Arxiv and Google Scholar to access their respective databases and perform academic searches.

Which academic sources does this skill search?

It integrates with Arxiv, Google Scholar, and bioRxiv to search for preprints and published scientific papers relevant to your topic.

Where are the contrarian reports saved?

The skill typically outputs its analysis to a dedicated markdown file within your workspace, specifically under the /idea/perspectives/ directory.

Sibyl Contrarian

Name: Sibyl Contrarian
Author: qcai0427

byqcai0427

0•

数据科学与机器学习

Challenges mainstream assumptions and identifies project blind spots by uncovering counter-evidence through deep academic and web research.

Sibyl Contrarian is a specialized research agent designed to act as a 'Devil's Advocate' for your ideas, technical designs, or research topics. By leveraging a suite of powerful tools—including Arxiv, Google Scholar, bioRxiv, and comprehensive web searching—it systematically searches for dissenting opinions, conflicting data, and overlooked risks. This skill is essential for developers and researchers who want to stress-test their hypotheses, avoid confirmation bias, and ensure their work is robust enough to withstand critical scrutiny.

主要功能

01Generates structured perspective reports to document potential project flaws

02Automated 'Devil's Advocate' analysis for any technical or conceptual topic

030 GitHub stars

04Deep academic integration with Arxiv, Google Scholar, and bioRxiv

05Web-based counter-evidence gathering to find real-world criticisms

06Systematic identification of hidden assumptions and logical blind spots

使用场景

01Stress-testing a new software architecture or technical proposal before implementation

02Conducting literature reviews to find conflicting scientific data or research

03Validating project requirements by identifying potential edge cases and market risks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-contrarian

For use in Claude.ai and ChatGPT

主要功能

01Generates structured perspective reports to document potential project flaws

02Automated 'Devil's Advocate' analysis for any technical or conceptual topic

030 GitHub stars

04Deep academic integration with Arxiv, Google Scholar, and bioRxiv

05Web-based counter-evidence gathering to find real-world criticisms

06Systematic identification of hidden assumptions and logical blind spots

使用场景

01Stress-testing a new software architecture or technical proposal before implementation

02Conducting literature reviews to find conflicting scientific data or research

03Validating project requirements by identifying potential edge cases and market risks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-contrarian

For use in Claude.ai and ChatGPT