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 skills add MayR-Labs/skills --skill pythongit clone --depth 1 https://github.com/MayR-Labs/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/mayr-labs/skills/python)<a href="https://agentmods.dev/skills/mayr-labs/skills/python"><img src="https://agentmods.dev/badge/skills/mayr-labs/skills/python/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.
<a href="https://agentmods.dev/skills/mayr-labs/skills/python"><img src="https://agentmods.dev/badge/skills/mayr-labs/skills/python.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00026 | $0.00345 |
| Opus 5.5 | $0.00010 | $0.00138 |
| Sonnet 5.5 | $0.00005 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
mayrlabs-language-python 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 12d 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.
What it actually says
MayR Labs Python Doctrine
Purpose
To override Python’s default "loose typing" in favor of enterprise-grade reliability, memory-safe execution, and explicit patterns.
Audience
AI Agents writing Python for backend APIs, data pipelines, or machine learning infrastructure.
Core Rules & Constraints
1. Mandatory Type Hinting
- Every function signature MUST contain parameter type hints and a return type
hint (even if
-> None). - Utilize the
typingmodule (List,Dict,Optional,Union) consistently.
2. Code Structure
- No Global Mutability: Eliminate module-level globals.
- Force the use of comprehensive docstrings per PEP-257 format for public classes/methods.
- Always use
if __name__ == '__main__':guards for executable scripts.
3. Comprehensions & Efficiency
- Prefer list/dict comprehensions over messy
forloops appending to an array. - Use generator expressions
(x for x in iterable)instead of list comprehensions[x for x in iterable]when dealing with large datasets to minimize RAM consumption.
Inputs & Outputs
- Input: Editing
.pyfiles. - Output: PEP-8 compliant, strongly typed, and structurally robust Python code.
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.
- 12d ago First seen · 52 lines · 26 tokens per session scan A 932ee97210db
mayrlabs-language-python is a skill published in the GitHub repository MayR-Labs/skills (0 stars, last pushed 18d ago), licensed MIT. It adds 26 tokens to every session and 345 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-02.
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