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Commits, branches and sync with the but CLI
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Works with
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Evaluating an LLM app with DeepEval v1.0.0
Use this resource to write evaluation tests for an LLM application with DeepEval
New
- 490 downloads
- 165 likes
- 175 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install llm-evaluation-with-deepevalWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent writes evaluation tests with DeepEval, a pytest-based Python framework: installation, a first test, environment setup, RAG and conversational metrics, and custom metrics. It also covers dataset management and model providers.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: installation, a pytest test and environment setup
- references/: custom metrics, datasets, model providers and async performance
Good fit for
- You want to measure the quality of a RAG pipeline
- You want regression tests for a chatbot
Not for
Tags
- evaluation
- llm
- pytest
- rag
About
You say
“Write a DeepEval test that checks my RAG answer cites its sources.”
Skill published by sammcj under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to write evaluation tests for an LLM application with DeepEval
- Review and adjust the result
Content preview
Files
- LICENSE11.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/async_performance.md12.7 KB
- references/custom_metrics.md17 KB
- references/dataset_management.md26.7 KB
- references/model_providers.md30.1 KB
- SKILL.md14.3 KB
Origin and licence
Listed unmodified
- Author
- sammcj
- Source
- github.com/sammcj/agentic-coding/tree/3f58e2fcd85f52cc7ba7459016b8253686f20ae0/Skills_disabled/deepeval
- Licence
- Apache-2.0
Notice
« deepeval » (sammcj, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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