pywayne-maths

pywayne-maths is a skill for Claude Code, Codex from wangyendt/wayne-skills. It costs 48 tokens per session (1,267 once invoked), scanned A, original, MIT.

A collection of Python functions for basic number calculations. It includes finding factors, counting how often a digit appears in a range, and multiplying large integers with the Karatsuba method.

In plain words
What is it for?
Use it to find divisors, check possible prime numbers, simplify number-related calculations, count digit occurrences, and multiply large integers.
Why use it?
It saves developers from rewriting common number-theory and integer-operation code. The functions can be used directly in scripts that need these calculations.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/wangyendt/wayne-skills/maths
Any agent
npx skills add wangyendt/wayne-skills --skill maths
Clone the repo
git clone --depth 1 https://github.com/wangyendt/wayne-skills

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 pywayne-maths

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangyendt/wayne-skills/maths.svg)](https://agentmods.dev/skills/wangyendt/wayne-skills/maths)
Your own site
<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/maths"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/maths.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,267 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00048 $0.01267
Opus 5 $0.00024 $0.00633
Sonnet 5 $0.00010 $0.00253
Haiku 4.5 $0.00005 $0.00127

Measured 5d ago against content hash ea3109de840a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pywayne-maths 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 5d ago.

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.

pywayne/maths/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pywayne Maths

Mathematical utility functions for number theory, digit analysis, and optimized integer operations.

Quick Start

from pywayne.maths import get_all_factors, digitCount, karatsuba_multiplication

# Get all factors of a number
factors = get_all_factors(28)
print(factors)  # [1, 2, 4, 7, 14, 28]

# Count digit occurrences
count = digitCount(100, 1)
print(count)  # 21 (digit 1 appears 21 times in 1-100)

# Large integer multiplication
product = karatsuba_multiplication(1234, 5678)
print(product)  # 7006652

Functions

get_all_factors

Return all factors of a positive integer.

get_all_factors(n: int) -> list

Parameters:

  • n - Positive integer to factorize

Returns:

  • List of all factors of n

Use Cases:

  • Number theory problems
  • Finding divisors
  • Simplifying fractions
  • Greatest common divisor (GCD) calculation

Example:

from pywayne.maths import get_all_factors

factors = get_all_factors(36)
print(factors)  # [1, 2, 3, 4, 6, 9, 12, 18, 36]

# Check if number is prime
n = 17
factors = get_all_factors(n)
if len(factors) == 2:  # Only 1 and itself
    print(f"{n} is prime")
else:
    print(f"{n} is not prime")

digitCount

Count occurrences of digit k from 1 to n.

digitCount(n, k) -> int

Parameters:

  • n - Positive integer, upper bound of counting range
  • k - Digit to count (0-9)

Returns:

  • Count of digit k in range [1, n]

Special Case:

  • When k = 0, counts all numbers with trailing zeros after n

Use Cases:

  • Digit frequency analysis
  • Number theory problems
  • Data analysis tasks

Example:

from pywayne.maths import digitCount

# Count digit 1 from 1 to 100
count = digitCount(100, 1)
print(count)  # 21

# Count each digit 0-9 in range 1-1000
for k in range(10):
    count = digitCount(1000, k)
    print(f"Digit {k}: {count} times")

karatsuba_multiplication

Multiply two integers using Karatsuba's divide-and-conquer algorithm.

Read the full file on GitHub · 205 lines

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. 5d ago First seen · 205 lines · 48 tokens per session scan A ea3109de840a

Subscribe to this mod's changes

pywayne-maths is a skill published in the GitHub repository wangyendt/wayne-skills (8 stars, last pushed 8d ago), licensed MIT. It adds 48 tokens to every session and 1,267 once invoked, about $0.0002 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 2026-08-31.

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