ai-hallucination-fact-check-protocol
CommunityVerify AI citations with an adapted SIFT
Education & Research#fact-checking#citation verification#sift#lateral reading#digital literacy#classroom activity#ai hallucinations
AuthorGarethManning
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps students avoid being misled by AI-generated citations and statistics by providing a repeatable protocol for checking whether claims are real and correctly represented.
Core Features & Use Cases
- AI-adapted SIFT: Replaces the usual “Investigate the source” step with AI-specific source reconstruction (does the cited source exist, and does it say what the AI claims?).
- Hallucination taxonomy: Classifies common LLM error types such as fabricated citations, statistical invention, misattribution, and false consensus so verification steps match the claim type.
- Classroom-ready activity: Includes a structured “Hallucination Hunt” plus a teacher think-aloud model to demonstrate both successful verification and discovery of fabrication.
Quick Start
Use this Skill for a fact-checking lesson when you have an AI response containing citations or numbers and want students to verify them using source reconstruction steps.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-hallucination-fact-check-protocol Download link: https://github.com/GarethManning/education-agent-skills/archive/main.zip#ai-hallucination-fact-check-protocol Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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