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/masrisystems/dot-agents/pytorch-patternsnpx skills add masrisystems/dot-agents --skill pytorch-patternsgit clone --depth 1 https://github.com/masrisystems/dot-agentsWrote 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/masrisystems/dot-agents/pytorch-patterns)<a href="https://agentmods.dev/skills/masrisystems/dot-agents/pytorch-patterns"><img src="https://agentmods.dev/badge/skills/masrisystems/dot-agents/pytorch-patterns.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 | $0.00032 | $0.02832 |
| Opus 5 | $0.00016 | $0.01416 |
| Sonnet 5 | $0.00006 | $0.00566 |
| Haiku 4.5 | $0.00003 | $0.00283 |
Grade A, and why
pytorch-patterns 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 397 lines · 32 tokens per session scan A 22b76f559f17
pytorch-patterns is a skill published in the GitHub repository masrisystems/dot-agents (0 stars, last pushed 3d ago), with no licence file. It adds 32 tokens to every session and 2,832 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 2026-09-03.
Other skills, from other repositories
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for…
python-pro
Expert Python developer specializing in modern Python 3.11+ development with deep expertise in type safety, async programming, data science, and web frameworks. Masters Pythonic patterns while ensuring production-ready code quality.
scikit-learn-pipelines-and-column-transformers
Skill "scikit-learn-pipelines-and-column-transformers" from MarieLynneBlock/arcanum-artifex, covering what this skill does, when to use it, instructions, output format and examples.
pytorch
PyTorch deep learning framework with dynamic graphs. Use for neural networks.
dask
Dask parallel computing library. Use for scaling pandas.
scikit-learn
Scikit-learn machine learning library. Use for classical ML.