code-review-checklist

Validate completed coding sessions against an evidence-based review checklist.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/ldmrepo/agent-harness --skill code-review-checklist-ldmrepo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-checklist
Source: https://github.com/ldmrepo/agent-harness/tree/main/template/.claude/skills/code-review-checklist
Command: npx skills add https://github.com/ldmrepo/agent-harness --skill code-review-checklist-ldmrepo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Development teams often approve code without sufficient evidence, leading to missed verification, scope drift, and inconsistent artifacts. This skill provides a structured, evidence‑based checklist that validates scope, correctness, verification, and repository resumability before any approval gate.

Core Features & Use Cases

  • Comprehensive Review Procedure: Loads session context, verifies task identity, scope, correctness, and verification evidence.
  • Artifact Consistency Checks: Ensures progress logs, task state, backlog, and known issues are aligned.
  • Decision Automation: Produces explicit outcomes (approve, reject, pending, recovery) and updates relevant files.
  • Use Cases: Reviewing a completed feature implementation, validating a bug‑fix before merging, or gating a long‑running session in an autonomous agent pipeline.

Quick Start

Ask the reviewer agent to run the code‑review‑checklist skill on the latest session artifacts.

Frequently Asked Questions about code-review-checklist

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

FAQPage Schema
How do I validate completed coding sessions with an evidence-based review checklist?

To validate a bug-fix before merging, you apply an evidence-based review checklist that verifies task scope, correctness, and repository state. This process checks artifact consistency across progress logs and known issues, producing an explicit approve, reject, or pending decision for the approval gate.

What is an evidence-based code review checklist and how does it work?

An evidence-based code review checklist is a structured validation procedure that requires access to task artifacts, progress logs, and verification reports. It works by loading session context to verify task identity and ensure artifact consistency before generating a definitive review decision.

Do I need repository state files to run a session review for an approval gate?

Yes, you need repository state files to run a session review for an approval gate. The checklist explicitly requires access to task artifacts, progress logs, verification reports, and repository state files to produce a definitive review decision such as approve, reject, or recovery.

What's the best way to gate a long-running session in an autonomous agent pipeline?

The best way to gate a long-running session in an autonomous agent pipeline is to apply an evidence-based review checklist that validates scope and verification evidence. This produces explicit outcomes like approve, reject, pending, or recovery, and automatically updates relevant repository state files.

Why does my code review checklist fail to prevent scope drift and inconsistent artifacts?

Your code review checklist may fail to prevent scope drift and inconsistent artifacts if it lacks structured evidence-based validation. Without verifying task identity, scope, correctness, and repository resumability together, teams often approve code without sufficient evidence, leading to missed verification and artifact misalignment.