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

This file is byte-identical to the first copy the registry indexed, one of 6 indexed copies. Same content hash, so the same checks give both the same grade.

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

mdr add benchflow-ai/benchflow/thermo-nuclear-code-quality-review@git:20260815.898de30

Pins git:20260815.898de30 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

benchflow-ai/benchflow

Path

.agents/skills/thermo-nuclear-code-quality-review/SKILL.md

Versions recorded

1

Latest version

git:20260815.898de30, committed Aug 15, 2026

Size

12,437 bytes

Repository stars

359

License

Apache-2.0

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

mdr add benchflow-ai/benchflow/thermo-nuclear-code-quality-review@sha256:7faca08b51b643b2

[![mdr](https://markdownregistry.com/badge/art_i7unrtj7xnw4ll4j.svg)](https://markdownregistry.com/a/art_i7unrtj7xnw4ll4j)

Versions

The registry has recorded 1 version of this file, committed on Aug 15, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_i7unrtj7xnw4ll4j
GET https://markdownregistry.com/api/v1/resolve?ref=benchflow-ai/benchflow/thermo-nuclear-code-quality-review
GET https://markdownregistry.com/api/v1/blob/7faca08b51b643b2ddd0836f92af15574444024685dcc1e677dbbb39ae8c9e8f

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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