geode-verification
CommunityEnsure AI output quality and safety.
Software Engineering#quality assurance#verification#decision tree#bias#guardrail#biasbuster#cross-llm
Authormangowhoiscloud
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need to validate AI-generated outputs, ensuring they meet quality standards, are free from bias, and align with established criteria before deployment or further processing.
Core Features & Use Cases
- Guardrails (G1-G4): Enforces schema, range, grounding, and consistency checks on AI outputs.
- Bias Detection: Identifies and mitigates confirmation, recency, and anchoring biases.
- Cross-LLM Validation: Compares outputs across different language models for robustness.
- Cause Classification: Analyzes output characteristics to determine the root cause of potential issues and suggests corrective actions.
- Use Case: Automatically verify that an AI-generated product review score is within the acceptable range, is supported by evidence, and does not exhibit common biases, before it's published.
Quick Start
Run the geode-verification skill to check the quality and bias of the latest AI-generated report.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: geode-verification Download link: https://github.com/mangowhoiscloud/geode/archive/main.zip#geode-verification Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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