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.
npx skills add nicknisi/claude-plugins --skill thermo-nuclear-code-quality-reviewgit clone --depth 1 https://github.com/nicknisi/claude-pluginsWrote 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.
[](https://agentmods.dev/skills/nicknisi/claude-plugins/thermo-nuclear-code-quality-review)<a href="https://agentmods.dev/skills/nicknisi/claude-plugins/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/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.
<a href="https://agentmods.dev/skills/nicknisi/claude-plugins/thermo-nuclear-code-quality-review"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/thermo-nuclear-code-quality-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.02800 |
| Opus 5 | $0.00046 | $0.01400 |
| Sonnet 5 | $0.00018 | $0.00560 |
| Haiku 4.5 | $0.00009 | $0.00280 |
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.
This is a copy
89% identical to thermo-nuclear-code-quality-review — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 221 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, 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.
How to Run
This skill is the canonical rubric. There are two ways it gets used:
- Directly (
/essentials:thermo-nuclear-code-quality-review) — gather the review scope yourself, then apply the rubric below in this session:- Branch:
git rev-parse --abbrev-ref HEAD - Diff vs main:
git diff main...HEAD(fall back togit diff HEADfor uncommitted work if there is no branch diff) - Read the full current contents of every changed file — not just the diff hunks. Structural judgments require seeing the whole file (especially the 1k-line rule).
- If there are no changes to review, say so and stop.
- Branch:
- Via the
thermo-nuclear-code-quality-reviewagent — the agent loads this skill as its complete rubric and applies it to the diff and file contents in its prompt. Prefer the agent when you want the review to run in an isolated context (e.g. dispatched in parallel, or to keep the main session uncluttered).
Apply the rubric only to what the diff and current file contents show. Trace cross-file impact when a change touches a module boundary.
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.
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.
- 10d ago First seen · 221 lines · 92 tokens per session scan A 9990d8dbce85
thermo-nuclear-code-quality-review is a skill published in the GitHub repository nicknisi/claude-plugins (114 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 2,800 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to thermo-nuclear-code-quality-review, differing in 32 lines, and is treated as a copy.
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