evo-lean-induction-proof

evo-lean-induction-proof is a skill for Claude Code, Codex from Zhang-Henry/CoEvoSkills. It costs 80 tokens per session (1,110 once invoked), scanned A, original, Apache-2.0.

A Lean 4 proof guide for showing bounds on recursively defined sequences, such as partial sums. Lean 4 is a programming language and proof system that checks mathematical arguments.

In plain words
What is it for?
Use it to complete Lean 4 proofs about recursive sequences with the Math2001/Macbeth library. It covers induction, rewriting, algebra, numeric reasoning, and positivity checks.
Why use it?
It addresses induction proofs where the obvious previous-step assumption is too weak. The approach proves a stronger closed-form helper result before establishing the requested bound.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to complete Lean 4 proofs about recursive sequences with the Math2001/Macbeth library. It covers induction, rewriting, algebra, numeric reasoning, and positivity checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhang-henry/coevoskills/evo-lean-induction-proof
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Zhang-Henry/CoEvoSkills --skill evo-lean-induction-proof
Clone the repo
git clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for evo-lean-induction-proof

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-lean-induction-proof/github.svg)](https://agentmods.dev/skills/zhang-henry/coevoskills/evo-lean-induction-proof)
Your own site
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-lean-induction-proof"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-lean-induction-proof/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for evo-lean-induction-proof

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-lean-induction-proof"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-lean-induction-proof.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.01110
Opus 5 $0.00040 $0.00555
Sonnet 5 $0.00016 $0.00222
Haiku 4.5 $0.00008 $0.00111

Measured 11d ago against content hash 66eb9327da8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

evo-lean-induction-proof scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/utils.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

artifacts/skills/lean4-proof/evo-lean-induction-proof/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lean 4 Induction Proof Skill

Overview

This skill handles Lean 4 proof completion tasks where:

  • A recursive sequence is defined (e.g., partial sums of a geometric series)
  • A bound must be proved for all natural numbers
  • The proof environment uses Heather Macbeth's Math2001 library tactics

Key Proof Strategy

Stronger Helper Lemma Pattern: When proving S n ≤ bound for a recursive sequence, direct induction often fails because the inductive hypothesis S k ≤ bound is too weak. Instead:

  1. Find the closed-form expression for S n (e.g., S n = 2 - 1/2^n)
  2. Prove S m = closed_form by simple_induction
  3. Rewrite the goal with the closed form
  4. Prove the bound using positivity of the remainder term

Tactic Reference (Math2001 library):

  • simple_induction n with k IH — standard induction with push_cast
  • simp [S] — unfold the recursive definition
  • rw [IH] — apply induction hypothesis
  • rw [pow_succ] — rewrite 2^(k+1) as 2^k * 2
  • ring — close algebraic goals over commutative rings
  • norm_num — numeric normalization
  • linarith — linear arithmetic
  • addarith — weaker linear arithmetic (from library)
  • positivity — prove positivity goals (from Mathlib)
  • div_pos, pow_pos — positivity lemmas for division and powers

Compilation:

  • Use lake env lean solution.lean (not lean directly, not lake build)
  • No output = success; any output indicates errors or warnings
  • Warnings must be treated as errors (remove unused variables)
  • Avoid field_simp — may not be available in all configurations

Usage

import sys
sys.path.insert(0, '/app/environment/skills/evo-lean-induction-proof/scripts')
from utils import run_end_to_end, validate_solution, read_template, get_prefix_lines, write_solution, compile_lean

# End-to-end: reads template, generates proof, writes, compiles, validates
result = run_end_to_end(
    workspace_dir='/app/workspace',
    solution_file='solution.lean',
    proof_start_line=15,  # line where proof body starts
    timeout=300
)
print(f"Success: {result['success']}")
if not result['success']:
    print(f"Issues: {result['issues']}")

# Validation only (after manual proof writing)
lines = read_template('/app/workspace/solution.lean')
prefix = get_prefix_lines(lines, 15)
val = validate_solution('/app/workspace', 'solution.lean', prefix, 15)
print(f"Valid: {val['valid']}, Issues: {val['issues']}")

Read the full file on GitHub · 105 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 105 lines · 80 tokens per session scan A 66eb9327da8e

Subscribe to this mod's changes

evo-lean-induction-proof is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 21d ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,110 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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