code-review SKILL.md skillA

code-review from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pengqianhan/ai-human-research-os/code-review@git:20261014.5f6523d

Pins git:20261014.5f6523d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pengqianhan/ai-human-research-os
Path
research-skills-hub/mattpocock-skills/engineering/code-review/SKILL.md
Versions recorded
5
Latest version
git:20261014.5f6523d, committed Oct 14, 2026
First version recorded
Jul 15, 2026
Size
6,670 bytes
Repository stars
3
License
MIT

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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:

- **Standards**: does the code conform to this repo's documented coding standards?
- **Spec**: does the code faithfully implement the originating issue / spec?

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

The issue tracker should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.

## Process

### 1. Pin the fixed point

Whatever the user said is the fixed point (a commit SHA, branch name, tag, `main`, `HEAD~5`, etc.). If they didn't specify one, ask for it.

Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.

Before going further, confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.

### 2. Identify the spec source

Look for the originating spec, in this order:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pengqianhan/ai-human-research-os/code-review@sha256:09eb147f793e4647

The line at the top of this page pins the label git:20261014.5f6523d, 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_wev3kvs7gm2qbhoo.svg)](https://markdownregistry.com/a/art_wev3kvs7gm2qbhoo)

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

Versions

The registry has recorded 5 versions of this file, between Jul 15, 2026 and Oct 14, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
git:20261014.5f6523d latest2026-10-14 5f6523d 6,670 BA view · diff
git:20260824.62ed86b2026-08-24 62ed86b 6,589 BA view · diff
git:20260817.8cf18152026-08-17 8cf1815 6,649 BA view · diff
git:20260810.1a72f302026-08-10 1a72f30 6,634 BA view · diff
git:20260715.38d79be2026-07-15 38d79be 6,740 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 (6670 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

pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wev3kvs7gm2qbhoo
GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/code-review
GET https://markdownregistry.com/api/v1/blob/09eb147f793e4647949edd32dbad278f0554dfb56e0d46b699cd4c2c55bf0357

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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