Together AI Evaluations Skill for Claude Code

What is This Skill?

This skill teaches AI coding agents how to use Together AI's evaluation framework. It provides LLM-as-a-judge patterns for scoring model outputs on quality, safety, helpfulness, and task-specific criteria.

Answer-Ready: Together AI Evaluations Skill for coding agents. LLM-as-a-judge framework for scoring model outputs. Evaluate quality, safety, and task completion automatically. Part of official 12-skill collection.

Best for: ML teams evaluating and comparing LLM outputs. Works with: Claude Code, Cursor, Codex CLI.

What the Agent Learns

Run Evaluation

from together import Together

client = Together()

# Use a judge model to evaluate outputs
eval_result = client.evaluations.create(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
    criteria=["helpfulness", "accuracy", "safety"],
    inputs=[
        {"prompt": "What is Python?", "response": "Python is a programming language..."},
    ],
)
for score in eval_result.scores:
    print(f"{score.criterion}: {score.value}/5")

Evaluation Criteria

FAQ

Q: Which model works best as judge? A: Larger models (70B+) are more reliable judges. Llama 3.3 70B is recommended.