code-review SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

code-review from jellydn/my-ai-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jellydn/my-ai-tools/code-review@git:20261006.f663cbc

Pins git:20261006.f663cbc in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jellydn/my-ai-tools
Path
skills/code-review/SKILL.md
Versions recorded
3
Latest version
git:20261006.f663cbc, committed Oct 6, 2026
First version recorded
Jul 9, 2026
Size
11,684 bytes
Repository stars
128
License
MIT

Review a branch, PR, or worktree diff for repository conventions and stated intent.

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

Two-axis review of the diff between `HEAD` and a fixed point the user supplies:

- **Conventions** — does the code follow this repo's documented coding standards and Tidy First practices?
- **Intent** — does the change faithfully do what it claims to do?

Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.

## Where This Fits

This skill owns **micro / local quality** — conventions, clarity, correctness of individual changes. It answers: "Is this change well-crafted and does it do what it says?"

For **macro / structural quality** (architecture, code judo, 1k-line limits, abstraction quality), use `code-quality-review`. That skill asks: "Is there a dramatically simpler structure hiding inside this implementation?"

| Concern | code-review (this skill) | code-quality-review |
|---|---|---|
| Clean code & naming | ✅ Primary owner | — |
| Tidy First practices | ✅ Primary owner | — |
| Behavior matches commits | ✅ Primary owner | — |
| Guard clauses, helper vars | ✅ Primary owner | — |
| File under 1k lines | Flag if crossed | Enforce strictly |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jellydn/my-ai-tools/code-review@sha256:2c2a842bf256c488

The line at the top of this page pins the label git:20261006.f663cbc, 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_mdkx5g722dcnadeu.svg)](https://markdownregistry.com/a/art_mdkx5g722dcnadeu)

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

Versions

The registry has recorded 3 versions of this file, between Jul 9, 2026 and Oct 6, 2026, about one every 44 days.

versioncommittedcommitsizeaudit
git:20261006.f663cbc latest2026-10-06 f663cbc 11,684 BA view · diff
git:20260913.e2e25be2026-09-13 e2e25be 11,211 BA view · diff
git:20260709.42d5cb92026-07-09 42d5cb9 11,499 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 (11684 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

jellydn/my-ai-tools · 128 stars · license MIT · pushed 2026-11-09 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mdkx5g722dcnadeu
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/code-review
GET https://markdownregistry.com/api/v1/blob/2c2a842bf256c4888e7b248aa5004e7d145a22c16f02f22baf97ab9857b6e556

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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