lean-check
Skill150 starsChanged 10 days agoMITView on GitHub
Formalize a self-authored lemma or theorem in Lean 4/mathlib and require a clean `lake build` without `sorry`. Use when the mathematical claim can be stated faithfully and machine-checked. For numerical falsification or symbolic algebra, use $numerical-check or $symbolic-check.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 1 is distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
After numerical-check fails to falsify a claim and it's important enough to *prove*.
- Very specific: line 44
Write the Lean statement so it provably matches the informal claim.
- Very specific: line 45
Before proving, read the Lean statement back against the paper's exact hypotheses and conclusion.
- Very specific: line 46
If the object cannot be faithfully stated in available mathlib (e.g.
- Very specific: line 69
Add #print axioms <name> and rebuild → must show only propext, Classical.choice, Quot.sound (mathlib's standard axioms).
- Very specific: line 71
Builds but proof won't close: after honest effort → INCONCLUSIVE (unproven.
- Distinctive: line 90
Don't: read "proof didn't close" as FALSIFIED — inability to prove ≠ disproof.
- Very specific: line 92
Don't: write into paper-{venue}/paper/ or re-scaffold mathlib — use the seeded project scratch.
- Very specific: line 93
Don't: run bare python/toolchain guesses — Lean via lake only.
- Very specific: line 97
Write to reviews/<scope>/verify-lean/<YYYY-MM-DD-HHMM>.md, and copy the .lean module beside it (or note its path):
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Lean Check: Machine-Prove a Self-Authored Lemma
Formalize a lemma/theorem in Lean 4 + mathlib and let the kernel check it. A lake build that succeeds with no sorry and no extra axioms is a machine-verified proof — the strongest guarantee available.
When to Use
- A critical lemma whose correctness you want beyond doubt (the load-bearing step of a theorem).
lean-check, "formalize this in Lean", "machine-check this lemma", "prove this in Lean 4".- After
numerical-checkfails to falsify a claim and it's important enough to prove.
When NOT to Use
| Situation | Use instead |
| Stress-test / hunt a counterexample to a distributional claim | numerical-check (R1) |
| Verify an algebra / derivative / limit / closed-form step | symbolic-check (R2) |
| A statement too rich to faithfully formalize in reasonable time (heavy measure theory, bespoke objects) | domain-reviewer — do NOT force a lossy Lean statement |
Position in the verification spectrum
R3 — formal machine proof. The top rung: lake build (clean, sorry-free) = a kernel-checked theorem. Cost is high (formalization effort + statement fidelity), so reserve it for the claims that matter most; use R1/R2 to triage first.
Toolchain (pre-seeded — do not re-download)
- Machine: Mac Mini (hostname contains
Mac-mini). Checkhostname; if on the MacBook, run viassh mini. - Project:
~/lean-verify/mathlib_verify/— Lean4.31.0, mathlibv4.31.0(cache-backed, ~7.2 GB.lake). Health check:cd ~/lean-verify/mathlib_verify && lake build MathlibVerify.SmokeTest. - Refresh mathlib later:
lake update && lake exe cache get.
Procedure
1. State the lemma FAITHFULLY (the hard part — get this right or the check is worthless)
- Write the Lean statement so it provably matches the informal claim. A too-weak, too-strong, or subtly-different statement that happens to
buildgives false confidence — the single worst failure mode. - Before proving, read the Lean statement back against the paper's exact hypotheses and conclusion. State every hypothesis (domains,
0 < ρ < 1,StrictMono, etc.). When unsure the encoding is faithful, ask the user to confirm the statement. - If the object cannot be faithfully stated in available mathlib (e.g. a bespoke distributional limit), STOP — report
INCONCLUSIVE (not faithfully formalizable); do not ship a lossy proxy.
2. Write the module into the mathlib project scratch (NEVER the Overleaf paper)
Write to ~/lean-verify/mathlib_verify/MathlibVerify/<Name>.lean:
import Mathlib
theorem <name> (<hyps>) : <conclusion> := by
<tactic proof>3. Prove with mathlib tactics; iterate
- Try:
simp,norm_num,ring,linarith/nlinarith,positivity,gcongr,field_simp,exact?,apply?,polyrith. - Iterate on the proof, not the statement. If you find yourself weakening the statement to make it build, STOP — that's cheating the check.
4. Build and read the verdict
cd ~/lean-verify/mathlib_verify && lake build MathlibVerify.<Name>- Exit 0 + no
sorry→ candidate VERIFIED. Confirm no shortcuts:grep -n 'sorry\|admit' MathlibVerify/<Name>.lean→ must be empty.- Add
#print axioms <name>and rebuild → must show onlypropext, Classical.choice, Quot.sound(mathlib's standard axioms);sorryAxpresent ⇒ NOT proven.
- Statement doesn't typecheck → formalization error (fix the statement, re-verify fidelity).
- Builds but proof won't close after honest effort →
INCONCLUSIVE (unproven; claim may still be true). Failing to prove is NOT a disproof. - You prove the negation (
¬ <claim>) →FALSIFIED.
5. Emit the verification report + keep the .lean
Verdict semantics (important)
| Outcome | Verdict |
Faithful statement, clean build, no sorry, standard axioms only | VERIFIED |
| Proved the negation | FALSIFIED |
| Faithful statement, proof didn't close after real effort | INCONCLUSIVE (unproven) |
| Can't faithfully formalize the claim | INCONCLUSIVE (not formalizable) |
| Toolchain / build-system failure | ERROR |
Anti-Patterns
- Don't trust a green build without checking
sorry/admitand#print axioms— asorrybuilds fine and proves nothing. - Don't weaken/alter the statement to make it build — the statement is the claim; a proof of a different statement is false confidence.
- Don't read "proof didn't close" as FALSIFIED — inability to prove ≠ disproof.
- Don't force a rich probabilistic/measure-theoretic claim into a lossy Lean proxy — report not-formalizable and escalate to
domain-reviewer. - Don't write into
paper-{venue}/paper/or re-scaffold mathlib — use the seeded project scratch. - Don't run bare
python/toolchain guesses — Lean vialakeonly.
Output — Verification Report (shared *-check shape)
Write to reviews/<scope>/verify-lean/<YYYY-MM-DD-HHMM>.md, and copy the .lean module beside it (or note its path):
claim: <informal statement> ⟶ <Lean statement (verbatim)>
fidelity: <one line: why the Lean statement faithfully encodes the claim>
method: R3 Lean 4 (v4.31.0) + mathlib; lake build; sorry-free; axioms = <#print axioms output>
verdict: VERIFIED | FALSIFIED | INCONCLUSIVE (unproven|not formalizable) | ERROR
reproduce: cd ~/lean-verify/mathlib_verify && lake build MathlibVerify.<Name> (module attached)Verification (did this skill work?)
lake build MathlibVerify.<Name>exits 0.grep sorryis empty AND#print axiomsshows only the standard three.- The
## fidelityline exists — no VERIFIED without an explicit statement-faithfulness argument.
Worked example (toolchain smoke)
theorem lc_smoke (a b : ℝ) (h : a ≤ b) : a - 1 < b + 1 := by linarith → lake build exit 0, no sorry, standard axioms → VERIFIED. (A faithful Lean formalization of the median-collapse theorem itself — Φ, medians of distributions, the large-council limit — is a genuine formalization project; lean-check is for the tractable load-bearing lemmas, with R1/R2 covering the rest.)
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