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kdense-ml-ai-selected

kdense-ml-ai-selected is a skill for Codex from Lzy599775/agent-auto-sci-skills. It costs 88 tokens per session (380 once invoked), scanned A, original, MIT.

A selected toolkit of machine-learning and artificial-intelligence guidance for libraries and methods such as scikit-learn, PyTorch Lightning, Transformers, SHAP, time-series forecasting, graph learning, and UMAP.

In plain words
What is it for?
Use it when building or assessing scientific models for prediction, forecasting, spatial analysis, exposure, accessibility, fairness, or interpretation.
Why use it?
It helps structure research models around clear targets, validation, leakage risks, uncertainty, and the difference between prediction and causal claims.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 2repo 5d ago A scan 88 tokens original MIT

Good fit Use it when building or assessing scientific models for prediction, forecasting, spatial analysis, exposure, accessibility, fairness, or interpretation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected
View source ↗ Lzy599775/agent-auto-sci-skills lzy599775.github.io
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.

Any agent
npx skills add Lzy599775/agent-auto-sci-skills --skill kdense-ml-ai-selected
Clone the repo
git clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-skills

Made for: 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 kdense-ml-ai-selected

README.md
[![agentmods](https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected/github.svg)](https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected)
Your own site
<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected/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.

agentmods 80×15 button for kdense-ml-ai-selected

Your own site · 80×15
<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/kdense-ml-ai-selected.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 380 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00088 $0.00380
Opus 5 $0.00044 $0.00190
Sonnet 5 $0.00018 $0.00076
Haiku 4.5 $0.00009 $0.00038

Measured 11d ago against content hash 0563c35923e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

kdense-ml-ai-selected 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 11d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (subskills/k-dense/pytorch-lightning/scripts/quick_trainer_setup.py, subskills/k-dense/pytorch-lightning/scripts/template_datamodule.py, subskills/k-dense/pytorch-lightning/scripts/template_lightning_module.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/kdense-ml-ai-selected/SKILL.md · 40 lines

What it actually says

K-Dense ML/AI Selected

This wrapper packages selected Machine Learning & AI skills from K-Dense-AI/scientific-agent-skills for Auto-sci-research.

Use it when a task needs technical playbooks for:

  • scikit-learn
  • pytorch-lightning
  • transformers
  • shap
  • timesfm-forecasting
  • torch-geometric
  • umap-learn

Local Adaptation

Use these upstream skills with local research constraints:

  1. Define prediction target, population, spatial unit, temporal unit, and leakage risks before model choice.
  2. Prefer simple baselines before complex models.
  3. Separate predictive utility from causal interpretation.
  4. For exposure, accessibility, and spatial equity work, document spatial and temporal validation splits.
  5. Treat SHAP, feature importance, and embeddings as interpretation aids, not causal evidence.

For domain-specific guidance, also read:

  • ../agent-auto-sci-ai-ml/references/k_dense_ml_ai_mapping.md
  • ../agent-auto-sci-ai-ml/references/ml_leakage_and_validation.md

Must Not Do

  • Do not report only accuracy without calibration, uncertainty, and validation design.
  • Do not mix training and test geographies or time periods without disclosure.
  • Do not present model explanations as mechanisms unless the design supports that claim.
Files

What ships with it

60 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.

  1. 11d ago First seen · 40 lines · 88 tokens per session scan A 0563c35923e2

Subscribe to this mod's changes

kdense-ml-ai-selected is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 88 tokens to every session and 380 once invoked, about $0.0004 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.

Data and AIScientificbibliometricscodex-skillsgeospatialliterature-reviewresearch-agenturban-health
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