Does it support GitHub's one-click code suggestions?

Yes, it formats the 'fix' evidence into a markdown suggestion block, allowing developers to commit the suggested change directly from the GitHub UI.

How does the skill decide whether to approve or request changes?

The skill evaluates the 'severity' field of each finding; any issue marked as a 'blocker' or 'major' will trigger a REQUEST_CHANGES action, while only 'minor' issues result in a COMMENT, and no issues lead to an APPROVE.

What authentication is required for this skill?

This skill requires the GitHub MCP server to be configured with a Personal Access Token (PAT) that has write permissions for Pull Requests in the target repository.

Can I use this skill with my own custom analysis tools?

Yes, this is an output-type skill designed to aggregate findings from any 'specialist' skill that follows the standardized findings JSON format.

Submit GitHub Review

Name: Submit GitHub Review
Author: xinbenlv

byxinbenlv

Collaboration Tools

Submits structured code review findings and inline comments to GitHub Pull Requests using the GitHub API.

About

This skill acts as the terminal stage of an automated code review pipeline, transforming raw analysis findings into professional, actionable GitHub reviews. It intelligently categorizes issues by severity—using visual emojis for clarity—and automatically determines the appropriate PR action, such as 'Request Changes' for blockers or 'Approve' when no major issues are found. By generating detailed markdown summaries and precise inline comments with suggested fixes, it provides developers with high-quality feedback while streamlining the collaboration process directly within the GitHub interface.

Key Features

Formatted Summaries: Generates a professional markdown summary with tables and severity breakdowns (Blockers, Major, Minor, Nits).
0 GitHub stars
Automated Review Logic: Automatically chooses between Approve, Request Changes, or Comment based on finding severity.
Actionable Suggestions: Supports GitHub's suggestion syntax, allowing developers to apply code fixes with a single click.
Inline Annotations: Maps analysis findings to specific lines of code within the PR diff for contextual feedback.
Batch Submission: Consolidates multiple findings into a single review event to minimize developer notification noise.

Use Cases

Providing rapid, high-context feedback on Pull Requests before human reviewers begin their manual audit.
Automating the final reporting stage of an AI-driven security and linting pipeline.
Standardizing the format and tone of automated feedback across a large engineering organization.

About

Key Features

Formatted Summaries: Generates a professional markdown summary with tables and severity breakdowns (Blockers, Major, Minor, Nits).
0 GitHub stars
Automated Review Logic: Automatically chooses between Approve, Request Changes, or Comment based on finding severity.
Actionable Suggestions: Supports GitHub's suggestion syntax, allowing developers to apply code fixes with a single click.
Inline Annotations: Maps analysis findings to specific lines of code within the PR diff for contextual feedback.
Batch Submission: Consolidates multiple findings into a single review event to minimize developer notification noise.

Use Cases

Providing rapid, high-context feedback on Pull Requests before human reviewers begin their manual audit.
Automating the final reporting stage of an AI-driven security and linting pipeline.
Standardizing the format and tone of automated feedback across a large engineering organization.