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LLM error analysis with a review interface v1.0.0

Use this resource to analyze the errors in a dataset of LLM outputs with a review interface

New

  • 340 downloads
  • 198 likes
  • 174 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-error-analysis-review-ui

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 reads your dataset (JSONL, CSV, JSON), identifies the dimensions of variation and builds a review interface with a visual encoding. It selects varied samples, tracks annotations and organizes the failure modes it finds.

Mostly picked by

Updated November 2, 2026

Card for the “LLM error analysis with a review interface” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: data understanding, visual encoding and interface build
  • review-loop.md: how to run the interactive review session

Good fit for

  • You have LLM traces and don't know which failures recur
  • You want to group errors with a team of reviewers

Not for

    Tags

    • error analysis
    • llm
    • review
    • samples

    About

    You say

    “Build an interface to review my 300 bot answers and spot the error types.”

    Card for the “LLM error analysis with a review interface” skill

    Skill published by ai-evals-course under the Apache-2.0 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 analyze the errors in a dataset of LLM outputs with a review interface
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.2 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • review-loop.md5.8 KB
    • SKILL.md14.8 KB

    Origin and licence

    Listed unmodified

    Author
    ai-evals-course
    Source
    github.com/ai-evals-course/evals-skills/tree/80d5f7b0127c7572ed9e9339937adbfd7240ffeb/skills/error-discovery
    Licence
    Apache-2.0

    Notice

    « error-discovery » (ai-evals-course, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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