Analyze git diffs with multi-agent code reviews for correctness, architecture, and security.
npx skills add https://github.com/highflame-ai/ai-factory --skill review-highflame-ai
Please help me install this Agent Skill. Skill: review Source: https://github.com/highflame-ai/ai-factory/tree/main/skills/review Command: npx skills add https://github.com/highflame-ai/ai-factory --skill review-highflame-ai
This skill addresses the risk of unreviewed or poorly reviewed code reaching production by automating a rigorous, multi-dimensional inspection process that catches logic, architectural, and security flaws before they are merged.
Run the review skill to perform a full multi-agent analysis on the changes in your current branch.
High-intent search queries and answers about installing and using this skill.
Automated multi-agent code reviews orchestrate specialized agents to analyze git diffs against project conventions, domain knowledge, and historical lessons to identify critical defects before merging. The process enforces a strict quality gate based on the risk profile of modified files.
Multi-agent code review is an automated inspection process that orchestrates five specialized agents for correctness, quality, architecture, test coverage, and security. It enforces security compliance by analyzing git diffs against historical incident lessons and applying a mandatory pass/fail gate for critical findings.
Yes, automated code review can analyze static analysis and test coverage together by orchestrating a bench of five specialized agents. These agents simultaneously inspect code correctness, quality, architecture, test coverage, and security to provide comprehensive feedback on your current branch.
The best way to enforce a quality gate for critical defects is through automated multi-agent analysis that determines the review tier based on the risk profile of modified files. This process applies a strict pass/fail gate by cross-referencing git diffs with project conventions and historical incident lessons.
Yes, automated code review works with existing project conventions and domain-specific knowledge by dynamically loading them based on the files touched in the diff. This context-aware analysis ensures the review agents evaluate changes against your specific architectural and security requirements.
You need automated static analysis and security checks for your current branch when unreviewed code risks reaching production. Automated multi-agent reviews prevent this by catching logic, architectural, and security flaws through a rigorous, multi-dimensional inspection process before merging.
8GG-GitOrchestrate multi-agent PR reviews with adversarial filtering and confidence-rated findings.
Avila-TekAutomate CI/CD quality gates with lint, type-check, tests, and builds.
aquariuscookConduct context-driven code reviews for pull requests with prioritized feedback.
RuzenieAudit UI deliverables across three compliance tiers and generate scores.
