dinesh-gilfoyle
v1r3n/dinesh-gilfoyle
An adversarial multi-agent code review skill inspired by Silicon Valley, featuring Gilfoyle and Dinesh debating code quality, security, and architecture.
Overview
The dinesh-gilfoyle skill introduces an entertaining dual-agent code review workflow where two distinct AI personalities battle over code changes. Gilfoyle aggressively scans for deep technical flaws and vulnerabilities with uncompromising harshness, while Dinesh frantically defends implementation choices and contextual constraints. The iterative, multi-round debate continues until convergence or round limits are reached, resulting in a structured, actionable verdict alongside humorous banter transcripts and optional comic strip generation.
Capabilities
- ▸Multi-agent adversarial debating
- ▸Dependency vulnerability scanning
- ▸Iterative convergence checking
- ▸Structured code review synthesis
- ▸HTML comic strip generation and PR attachment
Best for
Conducting adversarial code reviews on staged and unstaged git diffs, Auditing specific code files or directories for bugs and architectural anti-patterns, Generating engaging pull request review summaries with comic strips
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill executes local git commands, analyzes source files and dependencies, and optionally interacts with GitHub pull requests.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.