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AI EngineeringPython

Opik Evaluate

by comet-ml

Opik Evaluate is an AI Engineering skill for Claude Code, published by comet-ml in opik-mcp.

217 stars35 forkson comet-ml/opik-mcpAdded 2026/09/04Repository updated 2026/09/03
claude-codegenerative-aillm-observabilitymcpmcp-servermodel-context-protocolopikpython
Install in seconds
Install Opik Evaluate
Copy Opik Evaluate into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/comet-ml/opik-mcp/tree/main/src/opik_mcp/skills/opik-evaluate ~/.claude/skills/opik-evaluate

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/comet-ml/opik-mcp.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
src/opik_mcp/skills/opik-evaluate/SKILL.md in comet-ml/opik-mcp
Installs to
~/.claude/skills/opik-evaluate
Collection
One of 5 skills cataloged from this repository
Category
AI Engineering โ€” 2970 skills

What Opik Evaluate does

Opik Evaluate helps build and run LLM evaluations for apps, datasets, judges, RAG metrics, synthetic data, and error analysis. Use it to measure AI product quality and validate evaluators against human labels.

Opik Evaluate is cataloged under AI Engineering on DirSkills. Opik Evaluate comes from a repository tagged claude-code, generative-ai, llm-observability, mcp and mcp-server.

Documentation

README

LLM Evaluation

Help users build, audit, and improve evaluation systems for LLM pipelines.

Where to Start

Have an existing eval pipeline? Start with an eval audit to surface problems: missing error analysis, unvalidated judges, vanity metrics. See the eval-audit reference.

Starting from scratch? Begin with error analysis on real traces. If no production data exists, generate synthetic data first. See the error-analysis and generate-synthetic-data references.

Test Suites

Test suites are the primary way to test agents in Opik. They combine test items with string assertions checked by an LLM judge, plus execution policies for multi-run reliability testing. Available in both Python and TypeScript SDKs.

Python:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Opik Evaluate

  • What else does comet-ml publish alongside Opik Evaluate?

    Opik Evaluate is one of 5 skills that DirSkills catalogs from comet-ml/opik-mcp, the repository it ships in. Its siblings there include Instrument, Opik and Opik Diagnose. Each one is a separate skill with its own page in this directory, installs the same way Opik Evaluate does, and is maintained by comet-ml in that same repository. The rest of the collection is listed on the comet-ml/opik-mcp page.

  • How does Opik Evaluate compare to other AI Engineering skills?

    Opik Evaluate ranks #2621 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Opik Evaluate against them. Open each page to compare what they document and how they install.