paper-scale-research-loop
CommunityPush outputs toward paper-scale evidence.
Authorlhy0718
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill enforces honest assessment of research readiness, ensuring that workflow completion is not conflated with manuscript readiness or paper-scale readiness.
Core Features & Use Cases
- Evaluate broad topic, current hypothesis, related work, baseline/comparator, executed experiments, and quantitative results.
- Produce a clear claim-to-evidence linkage and outline limitations and failure cases.
- Use Case: When deciding if outputs are ready for a manuscript or need further experiments.
Quick Start
Evaluate a current AutoLabOS experiment against paper-scale criteria and generate a structured, evidence-backed assessment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: paper-scale-research-loop Download link: https://github.com/lhy0718/AutoLabOS/archive/main.zip#paper-scale-research-loop Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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