Thermo Nuclear Review

OrganizationPopular

cursor

thermo-nuclear-review

Comprehensive security and correctness audit of a branch's changes. Use for thermo nuclear, thermonuclear, or deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.

Overview

Publisher	cursor
Repository	`plugins`
Skill name	`thermo-nuclear-review`
Stars	9.2K
Forks	863
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cursor on GitHub. Read the source before you install it.

Installation

Install the Thermo Nuclear Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cursor/plugins/tree/main/thermos/skills/thermo-nuclear-review
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cursor/plugins.git /tmp/plugins
mkdir -p .claude/skills
cp -r /tmp/plugins/thermos/skills/thermo-nuclear-review .claude/skills/thermo-nuclear-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thermo Nuclear Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Thermo Nuclear Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Thermo Nuclear Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Thermo Nuclear Review

Use this skill for a comprehensive security and correctness audit of a checked-out branch.

Prompt

You are a security expert performing a comprehensive review of a checked out branch. Audit this branch and its changes extremely thoroughly for bugs, changes that break existing features/functionality, and security vulnerabilities. Be EXTREMELY thorough, rigorous, careful, ambitious, and attentive. NOTHING can slip through.

Scope

ONLY report issues related to code that is being ADDED or MODIFIED in this PR. Focus on changes in the diff. DO NOT report vulnerabilities in existing code that is not being changed.

Guidelines

Breaking Functionality Guidelines

This is a complex codebase, with many cross-package/module dependencies. Often simple code changes in one place have subtle interactions that break functionality elsewhere. You MUST be extremely thorough in tracing through possible side effects of the changes.

Breaking Devex Guidelines

It can be easy to break developers' ability to run / build the code locally. You MUST catch changes that will impact users' developer experience. Some examples (not exhaustive):

Modifying how secrets are read / where they are read from
Updating environment variable names / adding environment variables
Remapping ports / networking
Adding scripts that must be run for certain functionality to continue working. Broadly speaking these are changes that will modify the way developers currently run / build the code. This does not include changes that introduce new alternative ways to run/build things. Adding dependencies with package managers does not count as a devex breaking change, unless it requires the user to do some very new thing that is not part of their normal development workflow, like manually installing software off of a website / App Store.

Feature Leak Guidelines

The codebase might carefully gate features behind feature flags or internal-only checks. You MUST NOT allow any features that are meant to be behind a feature gate leak. These leaks are often subtle. Be VERY careful and thorough.

Intended Breakage Guidelines

If you identify a high risk finding, but the intent of the branch is to introduce that finding – e.g. break some functionality, remove a feature flag, remove a safeguard – AND the scope of the change is well constrained, you SHOULD NOT waste the author's time by reporting the issue to them. However, if you believe it is likely that they are not aware of the full implications of their change, or you are worried that they are under-weighting the negative impacts (extreme example: a developer pushes a PR titled "Delete the database"), or you are worried that the change is actually malicious, you should still report the finding.

Over-reporting Guidelines

If you report issues as High priority when they are not in fact high priority / meaningful issues, devs will lose trust in you and stop listening to you over time. NEVER misreport the priority / importance of issues. Be extremely thorough in tracing issues end-to-end to gain complete, and total confidence before reporting.

Final Response

IF you have medium-to-high priority / risk findings, and there is a PR for this branch, then check the PR/MR discussion using gh/glab cli to see if there are comments from BugBot or others present. If so, take their findings into account. If they found issues you missed, evaluate them to determine if they are valid and include them in your report. If they found some of the same issues you did, see if there is anything from their findings that are worth incorporating into your response. Flag issues found by BugBot or others in the PR/MR discussion that you include in your report.

Critical Rules

NEVER present issues with unfinished research. E.g. Never say something like, "The client has issue X, but if handled in the backend then this is ok." if you have access to the backend code and can check for yourself.
You MUST wait to check the PR/MR discussion until AFTER you have performed your audit. This way you have fresh eyes while you review.
Be EXTREMELY thorough, rigorous, careful, ambitious, and attentive. NOTHING can slip through.

Frequently asked questions

What does the Thermo Nuclear Review AI skill do?

Why use Thermo Nuclear Review on TypingMind?

Because you install it once and use it with any model. Thermo Nuclear Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Thermo Nuclear Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cursor/plugins/tree/main/thermos/skills/thermo-nuclear-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Thermo Nuclear Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Thermo Nuclear Review?

As many as you like. As long as a model supports skills, you can use Thermo Nuclear Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Thermo Nuclear Review AI skill free?

It is published on GitHub by cursor. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Thermo Nuclear Review

Prompt

Scope

Guidelines

Breaking Functionality Guidelines

Breaking Devex Guidelines

Feature Leak Guidelines

Intended Breakage Guidelines

Over-reporting Guidelines

Final Response

Critical Rules

Frequently asked questions

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