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.
npx agentmods add skills/wangyendt/wayne-skills/mathsnpx skills add wangyendt/wayne-skills --skill mathsgit clone --depth 1 https://github.com/wangyendt/wayne-skillsWrote 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.
[](https://agentmods.dev/skills/wangyendt/wayne-skills/maths)<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>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.
| Model | Per session | Once 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 |
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.
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 rangek- Digit to count (0-9)
Returns:
- Count of digit
kin range [1, n]
Special Case:
- When
k = 0, counts all numbers with trailing zeros aftern
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.
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.
- 5d ago First seen · 205 lines · 48 tokens per session scan A ea3109de840a
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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