What is the 'Iron Law' of the Code Review skill?

The Iron Law dictates that no completion claims can be made without providing fresh verification evidence, such as terminal output from tests or successful build logs.

When should I use the code-reviewer subagent?

You should trigger the code-reviewer subagent after completing every individual task in a subagent-driven workflow, after finishing major features, or before merging to the main branch.

Does this skill work with human-provided feedback?

Yes, it provides specific protocols for handling feedback from human partners, prioritizing technical understanding and implementation over social comfort.

How does this skill change how Claude responds to feedback?

It eliminates performative agreement—phrases like 'Great point!' or 'You're right'—and replaces them with technical evaluation, verification, and evidence-based implementation.

What are Verification Gates?

Verification Gates are mandatory checkpoints where a command must be run and its output read to confirm a claim (like 'tests pass' or 'bug fixed') before the status is reported as successful.

Code Review Excellence

Name: Code Review Excellence
Author: xiaxingxiaowei1983

byxiaxingxiaowei1983

0•

コラボレーションツール

Implements technically rigorous code review practices using subagent-driven verification and evidence-based completion gates.

This skill transforms the standard code review process into a high-integrity workflow by emphasizing technical correctness over performative agreement. It provides structured protocols for receiving feedback, systematically requesting reviews through specialized subagents, and enforcing strict verification gates that require hard evidence before any task is marked as complete. By eliminating guesswork and 'performative' social responses from the development cycle, it ensures that every claim of success is backed by fresh test results or build logs, significantly reducing bugs and false completion claims in complex AI-driven projects.

主な機能

01Systematic subagent review requests utilizing git SHAs and structured task context.

02Structured decision trees for handling feedback from both human partners and external reviewers.

03Technically rigorous feedback reception protocol that eliminates performative agreement and 'fluff'.

04Integrated YAGNI and technical rigor checks to prevent unnecessary or incorrect implementations.

050 GitHub stars

06Enforced verification gates requiring raw evidence before any status or completion claims.

ユースケース

01Validating complex refactors or features before merging into production-critical branches.

02Ensuring high-integrity verification in subagent-driven development workflows.

03Standardizing the code review loop when working with multiple AI agents or human collaborators.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/openclaw code-review

For use in Claude.ai and ChatGPT

主な機能

01Systematic subagent review requests utilizing git SHAs and structured task context.

02Structured decision trees for handling feedback from both human partners and external reviewers.

03Technically rigorous feedback reception protocol that eliminates performative agreement and 'fluff'.

04Integrated YAGNI and technical rigor checks to prevent unnecessary or incorrect implementations.

050 GitHub stars

06Enforced verification gates requiring raw evidence before any status or completion claims.

ユースケース

01Validating complex refactors or features before merging into production-critical branches.

02Ensuring high-integrity verification in subagent-driven development workflows.

03Standardizing the code review loop when working with multiple AI agents or human collaborators.