Llm Council

What it does

The oimiragieo-llm-council skill provides a mechanism to evaluate and rate Large Language Model (LLM) responses based on predefined criteria. It allows users to establish guidelines for LLM behavior, ensuring outputs adhere to specific standards or policies. This promotes consistency and quality in AI agent interactions.

When to use it

• Content Moderation: Assess LLM-generated content for safety, appropriateness, and adherence to community guidelines before publication.
• Policy Compliance: Verify that an LLM's responses align with internal company policies or legal regulations.
• Quality Assurance: Evaluate the accuracy and helpfulness of LLM answers in a customer service chatbot environment.
• Training Data Validation: Rate generated training data to ensure it meets quality standards for fine-tuning models.

Key capabilities

• LLM response evaluation
• Rating based on predefined criteria
• Guideline enforcement
• Policy alignment verification

Example prompts

• "Evaluate this LLM response: '[Response text]' against the following guidelines: [Guidelines]."
• "Rate this answer for helpfulness and accuracy: '[Response text]'"
• "Does this output comply with our company's content policy? [Response Text]"

Tips & gotchas

The effectiveness of this skill relies on clearly defined evaluation criteria. Ambiguous or poorly structured guidelines will lead to inconsistent ratings.