Deep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘".
Quickly install cross-verified-research AI skill to your development environment via command line
Source: whynowlab/stack-skills.
Systematic research engine with anti-hallucination safeguards and source quality tiering.
Remember: "independent" means each source did its own analysis. Two articles both citing the same benchmark study = 1 source.
| Tier | Label | Trust Level | Examples |
Deep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘". Source: whynowlab/stack-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/whynowlab/stack-skills --skill cross-verified-researchDeep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘". Source: whynowlab/stack-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/whynowlab/stack-skills --skill cross-verified-research Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/whynowlab/stack-skills