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Getting started

Skill obielin/responsible-ai-skills/skills/getting-started

Use when starting any AI/ML task, or when asked about responsible AI skills. Explains available skills and mandatory workflow.From its SKILL.md

Install
npx -y skills add obielin/responsible-ai-skills --skill getting-started

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `alignment-review` and 1 more.

SKILL.md

2.4 KB, 481 tokens by cl100k_base, as published. Nobody here has run it

Responsible AI Skills — Getting Started

You have a suite of Responsible AI Skills. These are mandatory workflows, not suggestions.

What These Skills Do

They ensure every AI system you build is:

  • Explainable — decisions can be understood and justified
  • Fair — performance is equitable across population groups
  • Governed — documentation exists for audit and accountability
  • Aligned — behaviour matches stated intent and human values
  • Safe — incidents have a response plan before they happen

Available Skills

SkillWhen It Activates
bias-assessmentLoading datasets, training models, evaluating model performance
fairness-testingWriting tests for any ML model or classifier
explainability-by-defaultBuilding prediction, classification, or recommendation systems
governance-documentationBefore deploying any AI system to production
responsible-data-handlingAccessing, loading, or processing datasets
human-oversight-designDesigning autonomous or agentic AI systems
ai-incident-responseAI system behaves unexpectedly, produces harmful output, or underperforms
alignment-reviewBefore marking any AI feature complete

Mandatory Rules

  1. Before building any AI feature — check if a skill applies. If it does, read and follow it.
  2. Before calling any AI task "done" — run alignment-review.
  3. Before deploying to production — run governance-documentation.
  4. You cannot skip these steps by claiming time pressure or simplicity.

How Skills Work

Skills load progressively — this file uses ~100 tokens. Full skill content loads only when relevant. This means you can have all skills available without context cost.

Quick Reference

Building a classifier?        → bias-assessment + fairness-testing + explainability-by-default
Loading training data?        → responsible-data-handling
Deploying to production?      → governance-documentation
Designing an agent?           → human-oversight-design
Something went wrong?         → ai-incident-response
Finishing any AI feature?     → alignment-review (ALWAYS)

Read the relevant skill now. Do not proceed with your task until you have.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.