What is ai-ml-skills?

A collection of 27 guides for artificial intelligence and machine-learning work. Machine learning is software that learns patterns from data; the collection includes model training, computer vision, language processing, benchmarks, and research papers.

Use it to plan experiments, train or fine-tune models, study research papers, compare models, and work with areas such as language, images, anomaly detection, or graph data.

It helps select a focused guide for a particular AI or machine-learning task instead of starting from a broad topic.

ai-ml-skills — Skill for Claude Code and Codex by wentorai: A collection of 27 guides for artificial intelligence and…

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/wentorai/research-plugins/ai-ml

Any agent

npx skills add wentorai/research-plugins --skill ai-ml

Clone the repo

git clone --depth 1 https://github.com/wentorai/research-plugins

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/ai-ml.svg)](https://agentmods.dev/skills/wentorai/research-plugins/ai-ml)

Your own site

<a href="https://agentmods.dev/skills/wentorai/research-plugins/ai-ml"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/ai-ml.svg" alt="Measured on agentmods" height="20"></a>

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 950 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.

Model	Per session	Once invoked
Fable 5.1	$0.00044	$0.00950
Opus 5	$0.00022	$0.00475
Sonnet 5	$0.00009	$0.00190
Haiku 4.5	$0.00004	$0.00095

Measured 6d ago against content hash 0c2ada913806, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-ml-skills 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 6d 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.

skills/domains/ai-ml/SKILL.md · 39 lines

What it actually says

AI & Machine Learning — 27 Skills

Select the skill matching the user's need, then read its SKILL.md.

Skill	Description
ai-agent-papers-guide	Curated 2024-2026 AI agent research papers collection
ai-model-benchmarking	Benchmark AI models across 60+ academic evaluation suites and metrics
anomaly-detection-papers-guide	Industrial anomaly detection methods and benchmark papers
autonomous-agents-papers-guide	Daily-updated collection of autonomous AI agent papers
computer-vision-guide	Apply computer vision research methods, models, and evaluation tools
deep-learning-papers-guide	Annotated deep learning paper implementations with code walkthroughs
dl-transformer-finetune	Build transformer fine-tuning plans for classification and generation
domain-adaptation-papers-guide	Comprehensive collection of domain adaptation research papers
generative-ai-guide	Curated guide to generative AI covering LLMs and diffusion models
graph-learning-papers-guide	Conference papers on graph neural networks and graph learning
huggingface-api	Search and discover ML models, datasets, and Spaces on Hugging Face
huggingface-inference-guide	Run NLP and CV model inference via Hugging Face free-tier API
keras-deep-learning	Build and debug deep learning models with Keras and TensorFlow backend
kolmogorov-arnold-networks-guide	Papers and tutorials on KAN learnable activation networks
llm-evaluation-guide	Evaluate and benchmark large language models for research applications
llm-from-scratch-guide	Build a ChatGPT-like LLM from scratch using PyTorch step by step
ml-pipeline-guide	Build and deploy reproducible production ML pipelines for research
nlp-toolkit-guide	NLP analysis with perplexity scoring, burstiness, and entropy metrics
npcpy-research-guide	All-in-one Python library for NLP, agents, and knowledge graphs
prompt-engineering-research	Systematic prompt engineering methods for AI-assisted academic research workf...
pytorch-guide	Avoid common PyTorch mistakes and apply robust training patterns
pytorch-lightning-guide	PyTorch Lightning framework for scalable model training and research
reinforcement-learning-guide	Reinforcement learning fundamentals, algorithms, and research
responsible-ai-guide	Resources for trustworthy, fair, and ethical AI research
tensorflow-guide	TensorFlow best practices for tf.function, GPU memory, and deployment
transformer-architecture-guide	Guide to Transformer architectures for NLP and computer vision
vmas-simulator-guide	Vectorized multi-agent reinforcement learning simulator

Files

What ships with it

27 files 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.

6d ago First seen · 39 lines · 44 tokens per session scan A 0c2ada913806

Subscribe to this mod's changes

ai-ml-skills is a skill published in the GitHub repository wentorai/research-plugins (287 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 950 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 2026-08-30.

Data and AI Scientific

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for…

K-Dense-AI/scientific-agent-skills · 66 tokens

pyhealth

Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer…

K-Dense-AI/scientific-agent-skills · 216 tokens

torchdrug

Build and troubleshoot TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Engine.

K-Dense-AI/scientific-agent-skills · 61 tokens

deepspot-m

Generate transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Use when you need spatial gene expression in log1p-CPM for 224x224 tiles at about 20x, want to query protein-coding genes by symbol instead of a fixed panel, or want to run prediction across a whole slide after tiling with…

K-Dense-AI/scientific-agent-skills · 80 tokens

pick-a-pii-model

Select an on-device OpenMed PII model from the committed registry by language, runtime format, and size budget, then require recall validation before deployment. Use when an agent must choose a local PII detector for CPU, Apple Silicon, or a mobile export without relying on live model discovery.

maziyarpanahi/openmed · 64 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens