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GregoryHo
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arc-receiving-review

Verify code review feedback against the codebase before implementing changes.

6|Updated Feb 8, 2026
Search Tags:#code review#feedback#YAGNI#verification#technical rigor#pushback
One-click install
npx skills add https://github.com/GregoryHo/arcforge --skill arc-receiving-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: arc-receiving-review
Source: https://github.com/GregoryHo/arcforge/tree/main/skills/arc-receiving-review
Command: npx skills add https://github.com/GregoryHo/arcforge --skill arc-receiving-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that code review feedback is handled with technical rigor, prioritizing correctness and understanding over performative agreement. It guides the AI to verify feedback against the codebase before implementing changes.

Core Features & Use Cases

  • Structured Feedback Processing: Follows a strict pattern of reading, understanding, verifying, evaluating, responding, and implementing feedback.
  • Conflict Resolution: Provides clear guidelines for handling unclear feedback and for pushing back against suggestions that are technically unsound or violate project principles like YAGNI.
  • Use Case: When a human partner provides feedback on a code change, the AI uses this skill to ensure it fully understands the request, checks if it aligns with the current codebase, and responds with reasoned technical input or a verified implementation plan.

Quick Start

Use the arc-receiving-review skill to process the latest code review feedback, ensuring all points are technically verified before implementation.

Frequently Asked Questions about arc-receiving-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle code review feedback without blindly implementing every suggestion?▼

Handle code review feedback by following a structured process: read, understand, verify against the codebase, evaluate technical accuracy, respond with reasoning, and then implement. This ensures changes are validated before application.

What is the best way to push back on technically unsound code review suggestions?▼

Push back on unsound code review suggestions by applying technical rigor and referencing project principles like YAGNI. Verify the suggestion against codebase realities first, then respond with reasoned technical input explaining the conflict.

How do I verify code review feedback against the current codebase before applying changes?▼

Verify code review feedback by checking the suggestion against existing codebase realities and constraints. Ask clarifying questions if the feedback is unclear, ensuring full understanding before evaluating the technical impact or implementing anything.

When should I ask clarifying questions during a code review instead of just making changes?▼

Ask clarifying questions during a code review whenever feedback is ambiguous or lacks context. Prioritizing technical accuracy over performative agreement ensures you fully understand the request before attempting to verify or implement the changes.

Can an AI agent manage conflict resolution when receiving feedback that violates YAGNI principles?▼

Yes, an AI agent can manage conflict resolution by rigorously evaluating feedback against project principles like YAGNI. It pushes back technically unsound suggestions, maintaining code quality and project integrity through reasoned decision-making.

What steps ensure technical rigor when processing code review comments?▼

Ensure technical rigor by following a strict pattern: read the feedback, understand the intent, verify against the codebase, evaluate correctness, respond with technical input, and implement verified changes. This prevents performative agreement.

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