Part of Run Academic Research Workflows With Claude Code
Engineering Blueprint
Safety checkedReview Code and Audit Reproducibility
Skills for code review, research script auditing, and reproducibility verification across languages.
What problem does this solve?
Audits research code and workflows so you catch logical errors, missing dependencies, and non-reproducible assumptions before submission. Skills handle multi-language code review (R, Python, Julia, Stata), code-paper consistency audits, and reproducibility gap detection.
How does it work?
Use /code-review to spawn a multi-persona orchestrator for adversarial review of research scripts, /code-paper-auditor to map every quantitative claim to its source code, or /reproducibility-auditor to detect hidden dependencies and undocumented prerequisites. Use /code-archaeology to understand old code or analysis files. Output: detailed code review reports with findings, risk assessments, and fix recommendations.
Included Skills
No skills in this group
What's required to run this?
Code review agents spawn sub-agents for parallel analysis. Codex-research and Gemini-research agents delegate to OpenAI Codex and Gemini CLI respectively in headless mode. All review is read-only; use /fixer to apply recommendations.
Key Features
/code-review
Multi-persona orchestrator for R, Python, Julia, Stata research scripts
/code-paper-auditor
Verify code-paper consistency, map claims to outputs
/reproducibility-auditor
Detect hidden dependencies, absolute paths, environment assumptions
/code-archaeology
Review and understand old code, data, or analysis files
/pipeline-manifest
Map scripts to inputs, outputs, and paper figures/tables
About This Blueprint
- Industry
- Technology
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