review-code
RepositoryFree生成统一的代码评审提示，覆盖整体、单文件与差异审查场景。解析审查文本中的总分，输出标准化评分。帮助团队规范评审流程、提升代码质量与一致性。
- Best for
- standardized code review scoring, multi-scenario review prompt generation, integrated review process automation
- Type
- Repository · Free
- Score
- 24/100
- Best alternative
- Amazon Q Developer
Capabilities3 decomposed
standardized code review scoring
Medium confidenceThis capability analyzes code review text to extract scores and feedback using natural language processing techniques. It employs a scoring algorithm that standardizes evaluations across different review types, ensuring consistency in how code quality is assessed. The implementation leverages a model trained on diverse code review datasets to understand context and nuances in feedback, making it distinct in its ability to provide uniformity in scoring.
Utilizes a custom scoring algorithm based on NLP analysis of review text, ensuring a consistent evaluation framework across various scenarios.
More reliable than traditional manual reviews, as it minimizes subjective bias through standardized scoring.
multi-scenario review prompt generation
Medium confidenceThis capability generates tailored review prompts for different scenarios, such as overall code reviews, single-file assessments, and diff checks. It uses predefined templates and contextual understanding to adapt prompts based on the specific review type, enhancing the relevance and effectiveness of the feedback process. The architecture allows for easy modification and extension of prompt templates to suit various team needs.
Employs a flexible template engine that adapts prompts based on the review context, allowing for dynamic and relevant feedback generation.
More adaptable than static prompt systems, as it can cater to various review scenarios without manual intervention.
integrated review process automation
Medium confidenceThis capability automates the code review process by integrating with existing version control systems and CI/CD pipelines. It listens for code changes and triggers review prompts automatically, streamlining the workflow. The architecture supports webhook integrations, allowing it to respond in real-time to repository events, which enhances team productivity by reducing manual overhead.
Features real-time webhook integration that triggers review processes automatically, minimizing the need for manual initiation.
More efficient than manual review setups, as it eliminates delays caused by human intervention.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with review-code, ranked by overlap. Discovered automatically through the match graph.
Greetings & Utilities
Greet people in multiple languages, perform quick calculations, and check current time across time zones. Generate images from text prompts to visualize ideas. Create detailed code review prompts to speed up your development workflow.
my-mcp-server-251127
Handle quick greetings, calculations, and time lookups by time zone. Generate images from text prompts and kick off code reviews with a ready-made prompt. Prototype faster with included examples for testing.
Greetings & Utilities
Send personalized greetings in your chosen language. Perform quick calculations, check the current time by time zone, and generate images from text prompts. Create tailored code review prompts to improve code quality.
Greeting & Utilities
Send personalized greetings in your preferred language, perform quick calculations, and check the current time by timezone. Generate images from text prompts and create focused code review prompts to improve code quality.
Greeting Plus
Send friendly greetings, perform quick calculations, check Korea’s current time, and generate images from text prompts. Review code with a structured prompt and access helpful reference info.
Greetings & Utilities
Send personalized greetings in your chosen language. Perform quick calculations and get the current time for any timezone. Create images from text prompts and generate detailed code review prompts.
Best For
- ✓development teams looking to enhance code quality and review consistency
- ✓teams implementing structured code review processes
- ✓DevOps teams looking to enhance automation in their workflows
Known Limitations
- ⚠Requires well-structured review text to produce accurate scores; may struggle with ambiguous feedback.
- ⚠Prompt quality may vary based on the richness of the input context.
- ⚠Requires proper configuration of webhooks and permissions in the version control system.
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
About
生成统一的代码评审提示，覆盖整体、单文件与差异审查场景。解析审查文本中的总分，输出标准化评分。帮助团队规范评审流程、提升代码质量与一致性。
Categories
Alternatives to review-code
AWS AI coding assistant — code generation, AWS expertise, security scanning, code transformation agent.
Compare →IBM enterprise AI platform — Granite models, prompt lab, tuning, governance, compliance.
Compare →Are you the builder of review-code?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →