code-review-and-quality SKILL.md skillA

code-review-and-quality from lll0k0lad/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add lll0k0lad/agent-skills/code-review-and-quality@git:20260215.638a3f5

Pins git:20260215.638a3f5 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

lll0k0lad/agent-skills

Path

skills/code-review-and-quality/SKILL.md

Versions recorded

1

Latest version

git:20260215.638a3f5, committed Feb 15, 2026

Size

9,638 bytes

Repository stars

3

License

MIT

Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Code Review and Quality

## Overview

Multi-dimensional code review with quality gates. Every change gets reviewed before merge — no exceptions. Review covers five axes: correctness, readability, architecture, security, and performance. The standard is: "Would a staff engineer approve this diff and the verification story?"

## When to Use

- Before merging any PR or change
- After completing a feature implementation
- When another agent or model produced code you need to evaluate
- When refactoring existing code
- After any bug fix (review both the fix and the regression test)

## The Five-Axis Review

Every review evaluates code across these dimensions:

### 1. Correctness

Does the code do what it claims to do?

- Does it match the spec or task requirements?
- Are edge cases handled (null, empty, boundary values)?
- Are error paths handled (not just the happy path)?
- Does it pass all tests? Are the tests actually testing the right things?
- Are there off-by-one errors, race conditions, or state inconsistencies?

### 2. Readability & Simplicity

Can another engineer (or agent) understand this code without the author explaining it?
…

Read the whole file at its exact version.

How to install

mdr add lll0k0lad/agent-skills/code-review-and-quality@sha256:2ec6b3fdc5135218

[![mdr](https://markdownregistry.com/badge/art_fbkgr3xnukzuytfk.svg)](https://markdownregistry.com/a/art_fbkgr3xnukzuytfk)

Versions

The registry has recorded 1 version of this file, committed on Feb 15, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_fbkgr3xnukzuytfk
GET https://markdownregistry.com/api/v1/resolve?ref=lll0k0lad/agent-skills/code-review-and-quality
GET https://markdownregistry.com/api/v1/blob/2ec6b3fdc5135218631bad8beadb80fbd9f4c46fe75adeb6f12eeca479b1913d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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