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Time series anomaly detection with Kumo-Anomaly v1.0.0

Use this resource to detect anomalies in multivariate time series with Kumo-Anomaly

New

  • 545 downloads
  • 174 likes
  • 122 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install kumo-anomaly-timeseries-detection

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 prepares inference on your CSV files or on synthetic data, fine-tunes the model on your normal operating data and sets up score thresholding. You get results with the anomaly flag, the mean absolute error and your original columns.

Mostly picked by

Updated November 2, 2026

Card for the “Time series anomaly detection with Kumo-Anomaly” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: inference, fine-tuning and reporting method
  • references/automl.md: automatic hyperparameter search
  • schemas/train.schema.json: training schema

Good fit for

  • You want to spot anomalies in sensor measurements
  • You have normal operating data to fine-tune the model

Not for

    Tags

    • kumo-anomaly
    • time series
    • anomalies
    • diffusion

    About

    You say

    “Detect the anomalies in my sensor CSV file with Kumo-Anomaly.”

    Card for the “Time series anomaly detection with Kumo-Anomaly” skill

    Skill published by nvidia 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 detect anomalies in multivariate time series with Kumo-Anomaly
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7.1 KB
    • config/skillspector-baseline.yaml0.8 KB
    • evals/evals.json1.2 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/automl.md11.4 KB
    • references/skill_info.yaml2.4 KB
    • references/spec_template_inference_hpo.yaml0.2 KB
    • references/spec_template_train.yaml0.4 KB
    • schemas/inference_hpo.schema.json4.1 KB
    • schemas/train.schema.json9.5 KB
    • skill-card.md4.4 KB
    • SKILL.md13.6 KB
    • skill.oms.sig6.2 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/tao-finetune-kumo-anomaly
    Licence
    Apache-2.0

    Notice

    « tao-finetune-kumo-anomaly » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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