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math-identity-check

Numerically check whether two elementary-function expressions are equal. Use when someone asks "is sin(x)^2 + cos(x)^2 = 1?", "does log(x*y) equal log(x)+log(y)?", "verify this identity", "is this trig/log/algebraic identity true?", or when reviewing an LLM-generated proof, textbook answer, or student submission that asserts two closed-form expressions are equal. Handles sympy-parseable Python-style expressions and LaTeX (`\frac`, `\sqrt`, etc.). Produces a `verified` / `refuted` / `branch-dependent` / `cannot-verify` verdict with a concrete counterexample when the identity fails. Backs onto the EML proof engine when both sides compile to its witness library; falls back to sympy lambdify otherwise. NOT a symbolic proof — for that use sympy.simplify or a CAS.

Visão geral

Numerically check whether two elementary-function expressions are equal. Use when someone asks "is sin(x)^2 + cos(x)^2 = 1?", "does log(x*y) equal log(x)+log(y)?", "verify this identity", "is this trig/log/algebraic identity true?", or when reviewing an LLM-generated proof, textbook answer, or student submission that asserts two closed-form expressions are equal. Handles sympy-parseable Python-style expressions and LaTeX (`\frac`, `\sqrt`, etc.). Produces a `verified` / `refuted` / `branch-dependent` / `cannot-verify` verdict with a concrete counterexample when the identity fails. Backs onto the EML proof engine when both sides compile to its witness library; falls back to sympy lambdify otherwise. NOT a symbolic proof — for that use sympy.simplify or a CAS.

Comando de instalação
npx skills add https://github.com/yaniv-golan/eml-skill --skill math-identity-check

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Atualizado19 de abril de 2026 às 14:12
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