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.**
…
The line at the top of this page pins the label git:20260704.1d791c8, 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.
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 (12406 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
arjitj2/open-pstack · 14 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t2mg74tlg6yvw6as
GET https://markdownregistry.com/api/v1/resolve?ref=arjitj2/open-pstack/thermo-nuclear-code-quality-review
GET https://markdownregistry.com/api/v1/blob/3fe9fb20c10a3aeffc059c4c9e0624e2cc5972b02811ded56334daedec4186b2
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.
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