Agent skill

Thermo Nuclear Code Quality Review

by AnastasiyaW in AnastasiyaW/codex-claude-code-config

Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications.

MITAuto-check passedDevelopment

Install Thermo Nuclear Code Quality Review

skills CLI
$ npx skills add AnastasiyaW/codex-claude-code-config --skill thermo-nuclear-code-quality-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AnastasiyaW/codex-claude-code-config thermo-nuclear-code-quality-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/development/thermo-nuclear-code-quality-review .claude/skills/thermo-nuclear-code-quality-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
thermo-nuclear-code-quality-review
GitHub stars
154
Token cost
~891 tokens
SKILL.md length
425 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications.

  • Works in 6 steps: structural regressions; → missing simplifications with a concrete… → spaghetti or branching growth; → …
  • A thermonuclear review
  • SKILL.md covers Review Bar, Output, Independence and scope and Gotchas, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Thermo Nuclear Code Quality Review is an agent skill from AnastasiyaW/codex-claude-code-config. Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications. Use for a thermonuclear review, harsh code-quality audit, code-judo review, or a file approaching 1000 lines. Do not use as an automatic rewrite mandate or for cosmetic cleanup.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code quality. The repository describes itself as: Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development. The licence is MIT.

When your agent uses it

  • A thermonuclear review
  • Harsh code-quality audit
  • Code-judo review
  • A file approaching 1000 lines

Example prompts

  • “/thermo-nuclear-code-quality-review”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. structural regressions;
  2. missing simplifications with a concrete alternative;
  3. spaghetti or branching growth;
  4. boundary and type-contract problems;
  5. file shape and decomposition;
  6. lower-severity readability issues.

What it can do on your machine

Read from SKILL.md and the folder at commit 67709af. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Thermo Nuclear Code Quality Review loads about 891 tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 425 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~891

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AnastasiyaW/codex-claude-code-config at commit 67709af, republished under its MIT licence (© AnastasiyaW). 425 words, ~891 tokens.

Download SKILL.mdSave it as .claude/skills/thermo-nuclear-code-quality-review/SKILL.md (or your agent's skills folder).
name
thermo-nuclear-code-quality-review
description
Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications. Use for a thermonuclear review, harsh code-quality audit, code-judo review, or a file approaching 1000 lines. Do not use as an automatic rewrite mandate or for cosmetic cleanup.
disable-model-invocation
true

Strict Code Quality Review

This is an unusually demanding review mode, not an instruction to rewrite code by taste. Inspect the current diff and surrounding architecture, then report only high-conviction findings grounded in a contract, reachable behavior, or a material maintainability risk.

Review Bar

Ask:

  • Can a simpler ownership boundary remove whole branches or concepts?
  • Did the diff add ad-hoc flags, special cases, or feature logic to a shared path instead of using the canonical layer?
  • Did a cohesive module become more coupled or cross a meaningful shape limit?
  • Are wrappers, casts, optionality, and sequential orchestration earning their complexity?
  • Does a proposed decomposition reduce what a reader must hold in mind, rather than merely move the same complexity into more files?

A file crossing roughly 1000 lines is a strong signal to inspect decomposition, not an automatic failure. Apply the project's actual shape policy and explain why a split would improve ownership. Do not manufacture a rewrite when the current structure is coherent and the change is small.

Output

Report findings in this order:

  1. structural regressions;
  2. missing simplifications with a concrete alternative;
  3. spaghetti or branching growth;
  4. boundary and type-contract problems;
  5. file shape and decomposition;
  6. lower-severity readability issues.

For each finding include file/line, contract or evidence, user/operator impact, and a concrete remedy. Separate BLOCKER, ADVISORY, and ACCEPTED decisions. If no finding survives reachability, materiality, and evidence screening, say so.

Independence and scope

Use a fresh reviewer for non-trivial changes. This review does not replace focused tests, security proof, or proof-verify; it evaluates maintainability and architecture. It must not silently edit production code or turn an advisory concern into a rewrite.

Show full SKILL.md (150 more words)Show less

Gotchas

  • Ambition without a contract becomes over-engineering. Keep the selection gate: a sufficient implementation is a reason to stop expanding.
  • A line count is a probe, not a universal design law.
  • Moving code across files without reducing coupling is not a successful decomposition.
  • Passing tests do not erase a material architecture regression, but a style preference without impact is not a blocker.

Troubleshooting

SymptomLikely causeAction
Review proposes a rewrite for a tiny diffScope or trigger was too broadLimit the review to changed behavior and material risks
Many low-value nitsNo severity/materiality screenKeep only findings with evidence and an actionable remedy
File is large but coherentThreshold treated as a verdictRecord ACCEPTED with rationale and keep the stable boundary
Suggested split adds more indirectionComplexity moved, not removedReject it and compare the reader's concepts before/after

Source

Adapted from Cursor Team Kit's MIT-licensed thermo-nuclear-code-quality-review: https://github.com/cursor/plugins/tree/main/cursor-team-kit/skills/thermo-nuclear-code-quality-review

© AnastasiyaW, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/development/thermo-nuclear-code-quality-review of AnastasiyaW/codex-claude-code-config.

Open the folder on GitHubat commit 67709af

Compare with similar skills

Thermo Nuclear Code Quality Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Thermo Nuclear Code Quality Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Thermo Nuclear Code Quality Review this skillAnastasiyaW/codex-claude-code-config154—~891Automated safety check: PassMIT
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Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT
Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop5.4k—~2.2kAutomated safety check: PassMIT
Constraint-Driven Developmentaddyosmani/agent-skills105k2 repos~5.2kAutomated safety check: PassMIT

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Categories

Questions about Thermo Nuclear Code Quality Review

What does Thermo Nuclear Code Quality Review do?

Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications. Thermo Nuclear Code Quality Review is an agent skill from AnastasiyaW/codex-claude-code-config. Run an opt-in strict maintainability review for giant files, spaghetti growth, misplaced logic, weak boundaries, unnecessary abstractions, and missed structural simplifications.

When should I use Thermo Nuclear Code Quality Review?

Thermo Nuclear Code Quality Review fits situations like: A thermonuclear review; harsh code-quality audit; code-judo review; A file approaching 1000 lines.

How do I install Thermo Nuclear Code Quality Review in Claude Code?

Run `npx skills add AnastasiyaW/codex-claude-code-config --skill thermo-nuclear-code-quality-review -a claude-code`. Or copy the skill folder (skills/development/thermo-nuclear-code-quality-review in AnastasiyaW/codex-claude-code-config) into .claude/skills/thermo-nuclear-code-quality-review in your project. Claude Code loads it when a task matches its description.

How do I install Thermo Nuclear Code Quality Review in Codex?

Run `npx skills add AnastasiyaW/codex-claude-code-config --skill thermo-nuclear-code-quality-review -a codex`. Or copy the skill folder (skills/development/thermo-nuclear-code-quality-review in AnastasiyaW/codex-claude-code-config) into .agents/skills/thermo-nuclear-code-quality-review in your project. Codex loads it when a task matches its description.

Can I use Thermo Nuclear Code Quality Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AnastasiyaW/codex-claude-code-config --skill thermo-nuclear-code-quality-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/thermo-nuclear-code-quality-review, .gemini/skills/thermo-nuclear-code-quality-review, .github/skills/thermo-nuclear-code-quality-review and .opencode/skills/thermo-nuclear-code-quality-review in your project.

What does Thermo Nuclear Code Quality Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Thermo Nuclear Code Quality Review is instructions for the agent only.

Does Thermo Nuclear Code Quality Review access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Thermo Nuclear Code Quality Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Thermo Nuclear Code Quality Review use?

Thermo Nuclear Code Quality Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Thermo Nuclear Code Quality Review use?

About 891 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Thermo Nuclear Code Quality Review?

Skills that share tags, products or a category with Thermo Nuclear Code Quality Review: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Ponytail Lazy Developer Mode (DietrichGebert/ponytail, 160k stars), Systematic Code Refactoring (luongnv89/claude-howto, 42k stars) and Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Thermo Nuclear Code Quality Review?

AnastasiyaW (a GitHub user) maintains it in AnastasiyaW/codex-claude-code-config, which has 154 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 2026.

Source: AnastasiyaW/codex-claude-code-config on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.