cross-validatelisted
Install: claude install-skill antiamerican-postponer432/chatgpt-for-researchers
# $cross-validate
Format a physics or mathematics claim for cross-model validation.
Use this when Codex has produced a result you want to check against a second AI
model (Claude, Gemini, or a fresh Codex context). Different models fail in
different ways on the same physics, so agreement between models is meaningful
evidence; disagreement tells you exactly where to look harder.
Inspired by the "hallucination orthogonality" principle and council-mode
verification in [flonat/claude-research](https://github.com/flonat/claude-research),
and the physics-specific failure modes documented by Tim Andersen
([How to use Claude to do physics](https://timandersen.substack.com/p/how-to-use-claude-to-do-physics-and))
— documented for Claude, but the same categories (dimensional analysis, formula
provenance, plausible-but-wrong arguments) apply to every current model, including
the ones behind Codex.
## Usage
```
$cross-validate "the Gaussian integral sqrt(pi) follows from squaring and polar coordinates"
$cross-validate (no argument — validate the last substantial result)
```
## Steps
**Step 1 — State the claim precisely.**
Write the claim as a self-contained statement including:
- The exact formula or result
- All notation and conventions needed to read it (do not assume the other model
shares your conventions)
- The domain of validity or the specific input values
Example:
> Claim: The Gaussian integral I = ∫_{-∞}^{∞} e^{-x²} dx equals √π.
> Check this by computing I² = ∫∫ e^{-(x