numerical-check

Installation
SKILL.md

Numerical Check: Falsify a Self-Authored Math Claim by Sweep

Empirically stress-test a mathematical claim you wrote but have not proven. The goal is falsification: throw many random instances at the claim and try to break it. A single genuine counterexample kills the claim; a large clean sweep is evidence, never proof.

When to Use

  • You wrote a Proposition / Theorem / Conjecture (monotonicity, threshold, comparative-static, inequality, closed-form, limit) and want to know if it's actually true before claiming it.
  • numerical-check, "stress-test my conjecture", "find a counterexample to X", "is Q(ρ) really monotone", "does the threshold hold for all …".
  • The write-time empirical arm of the mark-unverified rule (self-authored math must be checked before assertion).

When NOT to Use

Situation Use instead
Verify an algebra / derivative / limit / closed-form identity symbolic-check (R2)
Machine-prove a lemma (want a proof, not a stress-test) lean-check (R3)
Re-verify a computed empirical result in another language cross-language-check
Conceptual / assumption-completeness review domain-reviewer (agent)
Installs
2
GitHub Stars
130
First Seen
Jul 18, 2026
numerical-check — flonat/flonat-research