Analyze GitHub Pull Request diffs against security and architectural standards.
npx skills add https://github.com/ConductionNL/shillinq --skill review-pr-conductionnl
Please help me install this Agent Skill. Skill: review-pr Source: https://github.com/ConductionNL/shillinq/tree/main/.claude/skills/review-pr Command: npx skills add https://github.com/ConductionNL/shillinq --skill review-pr-conductionnl
This skill automates the time-consuming process of performing deep, context-aware code reviews on GitHub Pull Requests, ensuring consistent quality and security standards across your codebase.
Use the review-pr skill to analyze the pull request at the provided URL and submit a formal review.
High-intent search queries and answers about installing and using this skill.
Automated deep-analysis code reviews evaluate GitHub Pull Request diffs against security and architectural standards to detect null-safety, logic errors, and compliance issues. This skill generates inline comments and formal review verdicts using semantic diff analysis and model-based reasoning.
Yes, GitHub CLI integration is required to automate pull request security and compliance checks. The GitHub CLI dependency enables the skill to fetch PR diffs, apply deterministic mechanical gates like OWASP A01, and submit formal review verdicts directly to your repository.
Automated GitHub PR reviews apply deterministic static-analysis checks for security and architectural compliance, including OWASP A01 and ADR-004 standards. The deep analysis also evaluates semantic diffs for null-safety, logic errors, and SQL parity issues to ensure consistent code quality.
Yes, you can review multiple GitHub Pull Requests in parallel. Batch processing efficiently handles multiple PRs simultaneously, providing consolidated summaries and formal review verdicts for each pull request to streamline your software engineering workflow.
Enforcing regression detection and code quality standards in GitHub requires automated deep-analysis reviews that apply mechanical gates and semantic diff evaluation. This approach ensures consistent code quality by evaluating diffs against architectural standards and generating formal review verdicts.
Model-based reasoning performs deep semantic diff analysis that standard static-analysis cannot, detecting complex null-safety, logic, and SQL parity issues. It enables automated compliance gating and generates contextual inline comments and formal review verdicts for GitHub Pull Requests.
x402agentSummarizes GitHub pull requests by distilling diffs and highlighting design decisions.
VidyaBodepudiCompletes final verification, cleanup, and review of a development branch before merge or PR.
winsorllcExecute linters, static analysis, and security scanners on code.
elizaOSRun CodeQL and Semgrep scans and parse SARIF results.
