review-fix-loop

Maps review findings to code changes and verifiable evidence for closure workflows.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/jrmatherly/spacebot --skill review-fix-loop-jrmatherly
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-fix-loop
Source: https://github.com/jrmatherly/spacebot/tree/main/.claude/skills/review-fix-loop
Command: npx skills add https://github.com/jrmatherly/spacebot --skill review-fix-loop-jrmatherly

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduce review churn and prevent ambiguous responses by mapping each reviewer finding to a specific code change and verifiable evidence, enabling reviewers to close items confidently without repeated back-and-forth.

Core Features & Use Cases

  • Structured closure tracking: Build and maintain a closure table that links each finding to severity, owned files, planned change, verification command, and result.
  • Surgical fixes and verification: Implement the smallest coherent fix batches, run targeted verification (narrow → medium → broad), and record pass/fail evidence for each finding.
  • Re-run control and handoff: Limit reruns to avoid infinite loops, isolate minimal reproductions, and produce handoff artifacts listing closed findings, commands run, evidence, remaining open items, and residual risk.
  • Use Case: Respond to PR review comments by prioritizing P1/P2/P3 findings, applying minimal patches, and providing verification commands and results per finding to close the review round.

Quick Start

Have the agent address the latest PR review comments by mapping findings to minimal fixes and supplying pass/fail evidence for each item.

Frequently Asked Questions about review-fix-loop

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

FAQPage Schema
How do I close code review findings with verifiable fixes?

Close code review findings by mapping each finding to a specific code change and verifiable evidence using a closure table. This structured tracking links severity, owned files, planned changes, and verification command results to prevent ambiguous responses.

What is the best way to automate PR comment resolution?

Automate PR comment resolution by prioritizing P1/P2/P3 findings, applying minimal surgical patches, and recording pass/fail evidence for each item. This enables reviewers to confidently close items without repeated back-and-forth.

How do I avoid infinite loops when re-running code verification commands?

Avoid infinite loops during code verification by limiting reruns and isolating minimal reproductions. The workflow executes targeted verification commands across narrow, medium, and broad scopes, then records pass/fail evidence for each finding.

Can I use surgical edits to fix CI pipeline audit findings?

Yes, you can apply surgical edits to resolve CI pipeline audit findings. The workflow implements the smallest coherent fix batches and produces handoff artifacts listing closed findings, executed commands, evidence, and residual risk.

What is a closure table in code review workflows?

A closure table in code review workflows is a structured tracking mechanism that links each reviewer finding to its severity, owned files, planned change, verification command, and result, ensuring verifiable fixes and reducing review churn.

What are the limitations of automated review feedback resolution?

Automated review feedback resolution requires limiting reruns to avoid infinite loops and isolating minimal reproductions. Remaining open items and residual risk must be documented in handoff artifacts if findings cannot be closed completely.