code-review

Audit research code for correctness, documentation, testing, and versioning.

1|1|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/Hollis36/claude-skill --skill code-review-hollis36
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Hollis36/claude-skill/tree/main/code-review
Command: npx skills add https://github.com/Hollis36/claude-skill --skill code-review-hollis36

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

科研团队常常在代码审查、复现性与可维护性方面遇到挑战。本 Skill 提供一个结构化、可重复的代码审查流程,帮助研究人员快速评估代码质量并确保结果的可靠性。

Core Features & Use Cases

  • 标准化审查清单:覆盖正确性、可重复性、可维护性和数据完整性等要点。
  • 多阶段评审与追溯性:支持版本控制、变更记录与可重复性验证。
  • 自动化输出与文档化:自动生成评审报告、改进建议与审计痕迹,便于协作与合规。

Quick Start

Start a review by providing your research codebase and a brief workflow description.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review for research reproducibility?

Automating research code review involves applying a structured rubric to audit correctness, documentation, testing, and versioning. This skill evaluates data analysis and simulation scripts to ensure reproducible results and traceable outputs.

What is a structured rubric for auditing scientific code quality?

A structured rubric for scientific code provides standardized checklists covering correctness, reproducibility, maintainability, and data integrity. It systematically audits processing scripts and enforces version control and change records for reliable workflows.

How do I start a peer review of my data analysis scripts?

To start a peer review of data analysis scripts, provide your research codebase and a brief workflow description. The process then audits the code against maintainability and reproducibility standards to generate an evaluation report.

Can I use this code review process for simulation and processing scripts?

Yes, you can use this code review process for simulation and processing scripts. It is designed to audit typical scientific workflows, evaluating them for correctness, documentation, and versioning to enforce reproducible results.

What is the best way to ensure research code maintainability and versioning compliance?

The best way to ensure maintainability and versioning compliance is applying a standardized review checklist that audits change records and documentation. This generates traceable outputs and improvement suggestions for scientific code.

Does the code review skill generate documentation for compliance and collaboration?

Yes, the code review process generates documentation for compliance and collaboration. It automatically outputs review reports, improvement suggestions, and audit trails based on the evaluated research codebase.