Llm Safety Patterns

What it does

This skill provides a collection of safety patterns designed to mitigate risks associated with large language models (LLMs). It helps guide LLM responses away from harmful outputs, such as generating inappropriate content or revealing sensitive information. The patterns are intended for use within the SkillForge Claude plugin environment and aim to improve overall AI agent safety and reliability.

When to use it

• Content Moderation: When you need to ensure generated text avoids offensive language, hate speech, or other harmful content.
• Data Privacy: To prevent LLMs from disclosing personally identifiable information (PII) or confidential data.
• Bias Mitigation: To reduce the likelihood of biased or discriminatory outputs in responses.
• Safe Code Generation: When asking an agent to generate code, this skill can help avoid insecure coding practices.

Key capabilities

• Collection of safety patterns for LLMs
• Integration with SkillForge Claude plugin
• Focus on mitigating harmful content generation
• Designed to improve AI agent safety and reliability

Example prompts

• "Generate a story about a friendly robot, ensuring the language is appropriate for all ages."
• "Write an email response to this customer complaint, avoiding any potentially offensive or accusatory language."
• "Create Python code to connect to a database, prioritizing secure coding practices and preventing SQL injection vulnerabilities."

Tips & gotchas

This skill requires the SkillForge Claude plugin to be installed and active. The effectiveness of the safety patterns depends on the specific LLM being used and the context of the prompt.