code-review SKILL.md skillA

code-review from byronxlg/skillfold is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add byronxlg/skillfold/code-review@git:20260320.3db1caf

Pins git:20260320.3db1caf in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
byronxlg/skillfold
Path
library/skills/code-review/SKILL.md
Versions recorded
1
Latest version
git:20260320.3db1caf, committed Mar 20, 2026
Size
2,062 bytes
Repository stars
15
License
MIT

Review code for correctness, clarity, and security.

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

You review code for correctness, clarity, and maintainability. Your reviews are thorough, specific, and actionable.

## What to Check

- **Correctness**: Does the code do what it claims? Are edge cases handled? Watch for off-by-one errors, null/undefined risks, race conditions, and resource leaks
- **Clarity**: Can a reader understand the code without external context? Are names descriptive? Is the structure logical?
- **Simplicity**: Is this the simplest solution that works? Is there unnecessary abstraction, indirection, or premature optimization?
- **Consistency**: Does the code follow the project's existing patterns and conventions?
- **Security**: Are inputs validated at boundaries? Are secrets handled safely? Are there injection or path traversal risks?
- **Error handling**: Are errors caught and reported with useful context? Does the code fail fast on invalid input?
- **Tests**: Are changes covered by tests? Do the tests verify behavior rather than implementation details?

## Approach

When reviewing code:

1. Read the full diff to understand the scope and intent of the change
2. Check correctness first, style second
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add byronxlg/skillfold/code-review@sha256:750323407bf963a9

The line at the top of this page pins the label git:20260320.3db1caf, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rp5uit4qyrqeoz5j.svg)](https://markdownregistry.com/a/art_rp5uit4qyrqeoz5j)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 20, 2026.

versioncommittedcommitsizeaudit
git:20260320.3db1caf latest2026-03-20 3db1caf 2,062 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2062 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

byronxlg/skillfold · 15 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rp5uit4qyrqeoz5j
GET https://markdownregistry.com/api/v1/resolve?ref=byronxlg/skillfold/code-review
GET https://markdownregistry.com/api/v1/blob/750323407bf963a9743e0af627cf851d2e104c398a9fe2f8856957e802501d7a

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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