thermo-nuclear-code-quality-review

thermo-nuclear-code-quality-review is a skill for Claude Code from AnastasiyaW/codex-claude-code-config. It costs 79 tokens per session (739 once invoked), scanned A, original, MIT.

A strict, opt-in review of code structure and maintainability. It examines the current changes and surrounding design for tangled logic, weak boundaries, unnecessary abstractions, and opportunities to simplify.

In plain words
What is it for?
Use it for a demanding code-quality audit, especially when a file is nearing 1,000 lines or a change adds flags, special cases, or complexity to shared code.
Why use it?
It identifies structural problems that can make code harder to understand or change, while avoiding rewrites based only on personal style.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the claude-code-config plugin — 57 skills, 8 agents shipped together

Good fit Use it for a demanding code-quality audit, especially when a file is nearing 1,000 lines or a change adds flags, special cases, or complexity to shared code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anastasiyaw/codex-claude-code-config/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 AnastasiyaW/codex-claude-code-config --skill thermo-nuclear-code-quality-review
Clone the repo
git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config

Made for: Claude Code.

Or install claude-code-config, the plugin that ships this one along with the rest of its 57 skills, 8 agents.

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/anastasiyaw/codex-claude-code-config/thermo-nuclear-code-quality-review/github.svg)](https://agentmods.dev/skills/anastasiyaw/codex-claude-code-config/thermo-nuclear-code-quality-review)
Your own site
<a href="https://agentmods.dev/skills/anastasiyaw/codex-claude-code-config/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/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/anastasiyaw/codex-claude-code-config/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/thermo-nuclear-code-quality-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 739 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00079 $0.00739
Opus 5 $0.00039 $0.00369
Sonnet 5 $0.00016 $0.00148
Haiku 4.5 $0.00008 $0.00074

Measured 10d ago against content hash b93337b6cb77, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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/development/thermo-nuclear-code-quality-review/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

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.

Read the full file on GitHub · 77 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. 10d ago First seen · 77 lines · 79 tokens per session scan A b93337b6cb77

Subscribe to this mod's changes

thermo-nuclear-code-quality-review is a skill published in the GitHub repository AnastasiyaW/codex-claude-code-config (149 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 739 once invoked, about $0.0004 per session on Opus 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.