ED

education-ai-guardrails

Provides ethical and safety guardrails for AI applications in educational and tutoring contexts.

Install

mkdir -p .claude/skills/education-ai-guardrails && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13531" && unzip -o skill.zip -d .claude/skills/education-ai-guardrails && rm skill.zip

Installs to .claude/skills/education-ai-guardrails

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use this skill when designing, reviewing, or drafting AI features for education, tutoring, grading, student support, learning analytics, classroom tools, curriculum content, academic integrity, child safety, accessibility, student-data privacy, and human educator oversight.
274 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Classify educational AI contexts
  • Define AI roles in education
  • Check data boundaries for student privacy
  • Validate pedagogy for learning objectives
  • Add human oversight for high-impact student outcomes
  • Implement misuse controls for plagiarism and safety

How it works

The skill guides the design, review, or drafting of AI features for education by following a workflow that classifies context, defines AI roles, checks data boundaries, validates pedagogy, and adds human oversight and misuse controls.

Inputs & outputs

You give it
AI feature design for education
You get back
Risk-based recommendation with sources checked and human owner

When to use education-ai-guardrails

  • Reviewing educational AI features
  • Ensuring student data compliance
  • Defining teacher oversight for grading AI

About this skill

Education AI Guardrails

Build education AI as teacher/student support with privacy, accessibility, age-appropriate design, and human oversight.

Workflow

  1. Classify the context: tutoring, lesson planning, grading feedback, assessment generation, accessibility support, student analytics, parent communication, or admin workflow.
  2. Identify learners: age range, school/university/workplace setting, accessibility needs, language needs, and whether minors are involved.
  3. Define the AI role: explain, draft, practice, summarize, adapt content, flag risk, or support an educator. Avoid unreviewed final grading or disciplinary decisions.
  4. Check data boundaries: student records, personal data, consent, retention, vendor sharing, classroom recordings, and local policy requirements.
  5. Validate pedagogy: learning objective alignment, source accuracy, age appropriateness, bias, hallucination risk, and accommodations.
  6. Add human oversight: teacher review for grading, curriculum, interventions, escalations, and any high-impact student outcome.
  7. Add misuse controls: plagiarism expectations, prompt-injection resistance, cyber/safety content boundaries, and audit logs for sensitive workflows.
  8. Deliver a risk-based recommendation with sources checked, human owner, validation path, and unresolved policy questions.

Checklist

  • Use official curriculum, school policy, or educator-provided materials as the source of truth when available.
  • Make feedback formative and explainable; avoid opaque scores without evidence.
  • Provide accessibility alternatives and support for multilingual learners.
  • Avoid collecting more student data than the feature needs.
  • Include safe escalation for self-harm, abuse, violence, or safeguarding signals.
  • Test outputs across diverse student profiles and edge cases before classroom rollout.

Guardrails

  • Do not make final grades, placement, discipline, special-education, or safeguarding decisions without authorized human review.
  • Do not expose student records, minors' data, or classroom recordings to unapproved tools.
  • Do not present AI-generated educational content as policy- or teacher-approved unless it was reviewed.
  • Do not help students cheat; redirect to learning support, citation, and integrity-preserving guidance.

When not to use it

  • For making final grades, placement, discipline, special-education, or safeguarding decisions without authorized human review
  • For exposing student records, minors' data, or classroom recordings to unapproved tools
  • For presenting AI-generated educational content as policy- or teacher-approved without review

Limitations

  • Does not make final grades, placement, discipline, special-education, or safeguarding decisions without authorized human review
  • Does not expose student records, minors' data, or classroom recordings to unapproved tools
  • Does not present AI-generated educational content as policy- or teacher-approved unless reviewed

How it compares

This skill provides a structured framework for integrating ethical and safety considerations into educational AI development, rather than focusing solely on technical implementation.

Compared to similar skills

education-ai-guardrails side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
education-ai-guardrails (this skill)01moNo flagsIntermediate
offensive-exploit-dev-course02moReviewAdvanced
developer-growth-analysis79moNo flagsBeginner
skill-install47moReviewIntermediate

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Example prompts that trigger this skill in your AI assistant.

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