astoreyai/paper-reviewer
paper-reviewer/SKILL.md
Comprehensive pre-submission review orchestrator. Coordinates methodology checks, bias detection, AI text detection, statistical validation, and reporting guideline compliance for journal submissions.
testing
Updated Apr 3, 2026
$ install --global
skillsauthnpx skillsauth add astoreyai/claude-skills paper-reviewerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- paper-reviewer
- description:
- Comprehensive pre-submission review orchestrator. Coordinates methodology checks, bias detection, AI text detection, statistical validation, and reporting guideline compliance for journal submissions.
- version:
- 1.0.0
- author:
- Aaron Storey
Paper Reviewer
Comprehensive pre-submission review for journal manuscripts. Orchestrates multiple specialized skills from research-assistant to ensure publication readiness.
When to Use
- Before submitting papers to journals
- After completing systematic reviews
- When preparing dissertation chapters for committee
- For quality assurance on research manuscripts
Features
- AI Text Detection - Identify LLM-generated patterns
- Methodology Assessment - Verify research design rigor
- Bias Detection - Apply RoB 2, ROBINS-I, QUADAS-2 frameworks
- Statistical Validation - Check assumptions, effect sizes, power analysis
- Reporting Compliance - Validate CONSORT, PRISMA, STROBE guidelines
- Citation Integrity - Verify references, check for retractions
- Reproducibility Audit - Assess code/data availability
Usage
Review the manuscript at ~/Documents/submissions/AffectivePrompting/ for journal submission.
This is a systematic review targeting IEEE Transactions.
Review Pipeline
Phase 1: Triage
- Classify paper type (RCT, systematic review, observational, etc.)
- Identify target journal requirements
- List available files
Phase 2: AI Detection
- Run ai-check skill
- Flag sections with AI patterns >30%
- Generate authenticity report
Phase 3: Methodology
- Assess study design appropriateness
- Verify protocol adherence
- Check randomization/blinding (if applicable)
Phase 4: Risk of Bias
- Apply appropriate RoB tool
- Document domain-by-domain assessment
- Generate traffic light visualization
Phase 5: Statistical Validation
- Verify assumption testing
- Check effect size reporting
- Validate power analysis
Phase 6: Reporting Compliance
- Apply appropriate checklist (CONSORT/PRISMA/STROBE)
- Calculate compliance percentage
- List missing items
Phase 7: Citation Audit
- Verify all references
- Check for retractions
- Validate DOIs
Phase 8: Reproducibility
- Check code availability
- Verify data accessibility
- Assess documentation completeness
Output
Generates comprehensive review report:
- Executive summary with overall assessment
- Section-by-section findings
- Priority-ranked revision checklist
- Detailed appendices
Paper Type-Specific Workflows
Systematic Reviews
- PRISMA 2020 compliance
- AMSTAR 2 quality assessment
- Meta-analysis validation
RCTs
- CONSORT compliance
- RoB 2 bias assessment
- ITT/per-protocol analysis check
Observational Studies
- STROBE compliance
- ROBINS-I bias assessment
- Confounding control verification
Integration
Uses research-assistant skills:
- ai-check
- risk-of-bias
- hypothesis-test
- effect-size
- power-analysis
- publication-prep
- citation-format
- prisma-diagram
Configuration
Default thresholds (can override):
- AI detection: 30% (flag if higher)
- Reporting compliance: 85% minimum
- All 8 phases enabled by default
Part of ai_scientist research workflow automation
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