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LangChain evaluation harness v1.0.0

Use this resource to measure LangChain chain or agent quality and block regressions

New

  • 494 downloads
  • 185 likes
  • 140 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install langchain-evaluation-pipeline

With 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 login

The agent builds a versioned golden set, wires LangSmith evaluate() with a custom evaluator, adds ragas metrics for RAG and a deepeval LLM judge, then adds a regression gate to CI. You get a reproducible quality measure before any model change.

Mostly picked by

Updated November 2, 2026

Card for the “LangChain evaluation harness” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: golden set, evaluate(), ragas, deepeval and CI gate
  • references/: agent trajectory evaluation, CI integration, framework comparison and golden set curation

Good fit for

  • You switch models and want to check that answer quality has not dropped
  • You want a quality check on every pull request

Not for

    Tags

    • langchain
    • evaluation
    • ragas
    • llm-as-judge
    • regression

    About

    You say

    “Build a hundred-example golden set for my refund chatbot and wire it into CI.”

    Card for the “LangChain evaluation harness” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to measure LangChain chain or agent quality and block regressions
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/agent-trajectory-eval.md8 KB
    • references/ci-integration.md9.5 KB
    • references/framework-comparison.md5.2 KB
    • references/golden-set-curation.md5.9 KB
    • references/one-pager.md2.7 KB
    • SKILL.md14.9 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/langchain-eval-harness
    Licence
    MIT

    Notice

    « langchain-eval-harness » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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