thermo-nuclear-code-quality-review

thermo-nuclear-code-quality-review is a skill for Claude Code, Codex from diyanbogdanov/emend. It costs 33 tokens per session (1,585 once invoked), scanned A, original, MIT.

A strict code-quality reviewer focused on maintainability. It looks for overly large files, weak abstractions, and conditions that make code increasingly tangled.

In plain words
What is it for?
It is for reviewing code structure and flagging giant files, poor abstractions, and growing spaghetti-like conditional logic.
Why use it?
It helps reveal structural problems that can make software harder to understand, change, and review over time.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for reviewing code structure and flagging giant files, poor abstractions, and growing spaghetti-like conditional logic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add diyanbogdanov/emend --skill thermo-nuclear-code-quality-review
Clone the repo
git clone --depth 1 https://github.com/diyanbogdanov/emend

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for thermo-nuclear-code-quality-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review/github.svg)](https://agentmods.dev/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review)
Your own site
<a href="https://agentmods.dev/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for thermo-nuclear-code-quality-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/diyanbogdanov/emend/thermo-nuclear-code-quality-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,585 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01585
Opus 5.5 $0.00013 $0.00634
Sonnet 5.5 $0.00007 $0.00317
Haiku 4.5 $0.00003 $0.00159

Measured 2mo ago against content hash ea440e1850a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

thermo-nuclear-code-quality-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/thermo-nuclear-code-quality-review/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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, 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

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, go for it. Be extremely thorough and rigorous. Measure twice, cut once.

Non-Negotiable Additional Standards

  1. Be ambitious about structural simplification. Do not stop at "this could be a bit cleaner." Look for opportunities to reframe the change so that whole branches, helpers, modes, conditionals or layers disappear entirely. Prefer the solution that makes the code feel inevitable in hindsight. If you see a path to delete complexity rather than rearrange it, push hard for that path.

  2. Do not let a change push a file from under 1k lines to over 1k lines without a very strong reason. Treat it as a strong code-quality smell. Prefer extracting helpers, subcomponents or modules. Only waive this if the resulting file is still clearly organised.

  3. Do not allow random spaghetti growth in existing code. Be highly suspicious of new ad-hoc conditionals, scattered special cases or one-off branches inserted into unrelated flows. If a change adds weird if statements in random places, treat that as a design problem, not a stylistic nit. Prefer pushing the logic into a dedicated abstraction, helper, state machine or policy object.

Read the full file on GitHub · 150 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 150 lines · 33 tokens per session scan A ea440e1850a1

Subscribe to this mod's changes

thermo-nuclear-code-quality-review is a skill published in the GitHub repository diyanbogdanov/emend (53 stars, last pushed 29d ago), licensed MIT. It adds 33 tokens to every session and 1,585 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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