thermo-nuclear-code-quality-review SKILL.md skillA

thermo-nuclear-code-quality-review from michael-denyer/pstack-claude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add michael-denyer/pstack-claude/thermo-nuclear-code-quality-review@git:20260907.09f3a50

Pins git:20260907.09f3a50 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
michael-denyer/pstack-claude
Path
plugins/pstack/skills/thermo-nuclear-code-quality-review/SKILL.md
Versions recorded
4
Latest version
git:20260907.09f3a50, committed Sep 7, 2026
First version recorded
Jun 4, 2026
Size
13,551 bytes
Repository stars
3,776
License
MIT

Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.

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

# Thermo-Nuclear Code Quality Review

Use this skill for an unusually strict review focused on implementation quality, maintainability, abstraction quality, and codebase health.

Above all, this skill should push the reviewer to be **ambitious** about code structure. Do not merely identify local cleanup opportunities. Actively search for "code judo" moves: restructurings that preserve behavior while making the implementation dramatically simpler, smaller, more direct, and more elegant.

## Core Prompt

Start from this baseline:

> Perform a deep code quality audit of the current branch's changes.
> Rethink how to structure / implement the changes to meaningfully improve code quality without impacting behavior.
> Work to improve abstractions, modularity, reduce Spaghetti code, improve succinctness and legibility.
> Be ambitious, if there is a clear path to improving the implementation that involves restructuring some of the codebase, go for it.
> Be extremely thorough and rigorous. Measure twice, cut once.

## Non-Negotiable Additional Standards

Apply the baseline prompt above, plus these explicit review rules:

0. **Be ambitious about structural simplification.**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add michael-denyer/pstack-claude/thermo-nuclear-code-quality-review@sha256:35f68c89a24f690e

The line at the top of this page pins the label git:20260907.09f3a50, 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_grd7f4lpjgurzdmz.svg)](https://markdownregistry.com/a/art_grd7f4lpjgurzdmz)

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

Versions

The registry has recorded 4 versions of this file, between Jun 4, 2026 and Sep 7, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
git:20260907.09f3a50 latest2026-09-07 09f3a50 13,551 BA view · diff
git:20260827.7ac420e2026-08-27 7ac420e 13,608 BA view · diff
git:20260704.1d791c82026-07-04 1d791c8 12,406 BA view · diff
git:20260604.d869e0a2026-06-04 d869e0a 12,437 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 (13551 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

michael-denyer/pstack-claude · 3,776 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_grd7f4lpjgurzdmz
GET https://markdownregistry.com/api/v1/resolve?ref=michael-denyer/pstack-claude/thermo-nuclear-code-quality-review
GET https://markdownregistry.com/api/v1/blob/35f68c89a24f690eaba7f77c637d3b7dc1cb0fc7bf17670606ffd83f074fa626

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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