aristotle-lean
IMO Gold Medal level Lean4 theorem proving via Harmonic API
Best use case
aristotle-lean is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
IMO Gold Medal level Lean4 theorem proving via Harmonic API
Teams using aristotle-lean should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/aristotle-lean/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How aristotle-lean Compares
| Feature / Agent | aristotle-lean | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
IMO Gold Medal level Lean4 theorem proving via Harmonic API
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Aristotle Lean
**Trit**: -1 (MINUS)
**Domain**: Formal Verification / Theorem Proving
**Provider**: Harmonic (harmonic.fun)
## Overview
Aristotle is an IMO Gold Medal level Lean4 theorem prover that fills `sorry` holes in proofs, auto-generates counterexamples for false statements, and integrates with Mathlib and lake dependencies.
## API Configuration
```
Endpoint: aristotle.harmonic.fun
Auth: Auth0-based (requires signup/login at harmonic.fun)
```
## Capabilities
1. **Sorry Hole Filling**: Completes incomplete Lean4 proofs
2. **Dual Input**: Accepts English descriptions or Lean4 code
3. **Counterexample Generation**: Auto-generates counterexamples for false statements
4. **Project Integration**: Works with project theorems, lake dependencies, Mathlib
5. **PROVIDED SOLUTION Tag**: Use comment tag to mark solution regions
## Benchmarks
| Benchmark | Score |
|-----------|-------|
| MiniF2F | 90% |
| VERINA | 96.8% |
## Usage Pattern
```lean
-- English prompt in comment
-- "Prove that the sum of two even numbers is even"
theorem sum_even (a b : ℕ) (ha : Even a) (hb : Even b) : Even (a + b) := by
sorry -- Aristotle fills this
```
```lean
-- PROVIDED SOLUTION: explicit solution marker
theorem my_theorem : P → Q := by
-- PROVIDED SOLUTION
sorry
```
## Integration with GF(3)
This skill participates in triadic composition:
- **Trit -1** (MINUS): Verification/validation/analysis
- **Conservation**: Σ trits ≡ 0 (mod 3) across skill triplets
## Related Skills
- lean4-metaprogramming (trit +1)
- mathlib-tactics (trit 0)
- proof-assistant (trit -1)
- formal-verification (trit -1)
---
**Skill Name**: aristotle-lean
**Type**: Formal Verification / Theorem Proving
**Trit**: -1 (MINUS)
**GF(3)**: Conserved in triplet composition
## Non-Backtracking Geodesic Qualification
**Condition**: μ(n) ≠ 0 (Möbius squarefree)
This skill is qualified for non-backtracking geodesic traversal:
1. **Prime Path**: No state revisited in skill invocation chain
2. **Möbius Filter**: Composite paths (backtracking) cancel via μ-inversion
3. **GF(3) Conservation**: Trit sum ≡ 0 (mod 3) across skill triplets
4. **Spectral Gap**: Ramanujan bound λ₂ ≤ 2√(k-1) for k-regular expansion
```
Geodesic Invariant:
∀ path P: backtrack(P) = ∅ ⟹ μ(|P|) ≠ 0
Möbius Inversion:
f(n) = Σ_{d|n} g(d) ⟹ g(n) = Σ_{d|n} μ(n/d) f(d)
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