review-proof

Review physics derivations for reasoning errors and mathematical inconsistencies.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/zzr2718281828/claude-physics --skill review-proof
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-proof
Source: https://github.com/zzr2718281828/claude-physics/tree/main/.claude/skills/review-proof
Command: npx skills add https://github.com/zzr2718281828/claude-physics --skill review-proof

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users identify hidden mistakes in existing physics solutions, derivations, and explanations by checking logic, assumptions, approximations, and mathematical consistency.

Core Features & Use Cases

  • Physics Derivation Review: Examines proofs and solutions for skipped steps, invalid reasoning, incorrect laws, and unclear assumptions.
  • Consistency Checking: Evaluates dimensional correctness, boundary conditions, limiting cases, signs, and approximation validity.
  • Use Case: Review a textbook derivation, lecture note, or personal solution to determine whether the conclusion is supported by rigorous physics reasoning.

Quick Start

Ask the review-proof skill to inspect my physics derivation for logical errors, invalid approximations, and missing conditions.

Frequently Asked Questions about review-proof

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check my physics derivation for mathematical inconsistencies and invalid assumptions?

To check a physics derivation for mathematical inconsistencies and invalid assumptions, you can use a systematic review process that examines modeling assumptions, physical laws, and dimensional consistency. This verifies whether the conclusion is supported by rigorous reasoning.

What is the best way to review a physics proof for skipped steps and logical errors?

The best way to review a physics proof for skipped steps and logical errors is to systematically evaluate derivation steps, boundary conditions, and limiting cases. This identifies reasoning flaws and classifies error severity before the solution misleads you.

Can I verify dimensional consistency and boundary conditions in my textbook physics solution?

Yes, you can verify dimensional consistency and boundary conditions in a textbook physics solution by applying consistency checking methods. This evaluates signs, approximation validity, and limiting cases to locate hidden mistakes in the existing explanation.

When do I need mathematical validation for physics problem solving derivations?

You need mathematical validation for physics problem solving derivations when comparing competing answers, verifying lecture notes, or checking personal solutions. This ensures skipped steps, incorrect laws, and invalid approximations are caught before finalizing conclusions.

Does derivation review work for comparing competing physics answers and lecture notes?

Derivation review works for comparing competing physics answers and lecture notes by systematically checking physical reasoning, modeling assumptions, and error severity. This highlights mathematical inconsistencies and invalid assumptions across different solution approaches.