Evaluate AI agent performance with customizable scorers and multi-model comparisons.
npx skills add https://github.com/danielmiessler/LifeOS --skill evals-danielmiessler
Please help me install this Agent Skill. Skill: evals Source: https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/Evals Command: npx skills add https://github.com/danielmiessler/LifeOS --skill evals-danielmiessler
This Skill evaluates AI agents based on transcripts, tool-call sequences, and multi-turn conversations. It utilizes customizable scorers and supports multi-model comparisons for capability and regression testing.
Use the evals skill to run a multi-model comparison for the "newsletter summary" use case.
High-intent search queries and answers about installing and using this skill.
AI agent evaluation utilizes customizable scorers to compare performance across multiple models like Claude and GPT-4. You apply code-based, model-based, and human graders to assess transcripts, tool-call sequences, and multi-turn conversations.
Scoring multi-turn conversation transcripts is best handled by applying customizable graders. You can utilize code-based, model-based, and human graders to perform nuanced assessment of tool-call sequences and conversational consistency.
Yes, this AI evaluation framework supports model-based and human graders alongside code-based scoring. This combination allows for nuanced assessment of agent transcripts, tool-call sequences, and multi-turn conversations.
Yes, you can run regression testing on AI agents using custom scoring criteria. The framework evaluates agent consistency across different scenarios, applying code-based, model-based, and human graders for comprehensive capability testing.
Yes, you need Anthropic's "Demystifying Evals for AI Agents" framework for consistent execution. This provides the foundational structure required to run multi-model comparisons and evaluate AI agent performance accurately.
ylxaiEvaluate AI agent transcripts with code-based, model-based, and human graders.
ldk-hubAutomate eval-driven development workflows for Claude Code sessions.
Prathviraj-jadhavIntegrate and orchestrate large language models for multi-turn AI applications.
davduncRun regression and capability evaluations for multi-turn AI agent workflows.
