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v1r3nv1r3nCommunity·1 Agent Skills Included

dinesh-gilfoyle

Adversarial two-persona code review with actionable verdicts

Runs adversarial code reviews where two debating personas attack and defend your code across security, database, performance, and design domains. Surfaces real vulnerabilities and architectural flaws that single-pass reviews miss, then confirms each finding through argument. Delivers a structured verdict with prioritized fixes, plus an optional shareable comic strip for pull requests.
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npx skills add v1r3n/dinesh-gilfoyle --all -g -y

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dg

Coordinate two AI reviewers to debate code diffs and produce a structured verdict.

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Frequently Asked Questions

FAQPage Schema
How to install dinesh-gilfoyle?▼

Run `npx skills add v1r3n/dinesh-gilfoyle --all -g -y` in your terminal to install the skill globally for your coding agent.

How does adversarial code review work?▼

Two personas debate your code: one attacks it for security, database, and design flaws while the other defends it. Issues the defender cannot justify are confirmed as real problems.

What does /dg check in my code?▼

It reviews security vulnerabilities, dependency CVEs, database query problems, distributed systems gaps, performance issues, logging practices, and language-specific best practices.

Does /dg work with Claude Code, Cursor, and Windsurf?▼

Yes. Claude Code, Codex, and OpenCode get the full two-agent debate, while Cursor and Windsurf run a single-agent version that alternates personas.

Can I share the review results with my team?▼

Yes. After the review, you can generate an HTML comic strip of the best moments and attach it directly to a pull request as a comment.

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