tao-finetune-kumo-anomaly SKILL.md skillA
tao-finetune-kumo-anomaly from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-finetune-kumo-anomaly@v0.2.0Pins v0.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/models/tao-finetune-kumo-anomaly/SKILL.md- Versions recorded
- 1
- Latest version
- v0.2.0, committed Sep 29, 2026
- Size
- 13,587 bytes
- Repository stars
- 95
- License
- Apache-2.0
Kumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Kumo-Anomaly Diffusion-based anomaly detection and fine-tuning for multivariate time series. The model reconstructs randomly masked segments and scores each timestep by MAE between reconstruction and original signal; adaptive thresholding (SCS or MACS) converts scores to binary labels. **Source code:** https://github.com/NVIDIA/Kumo-TS **Pretrained weights:** https://huggingface.co/nvidia/Kumo-Anomaly > **For the most up-to-date usage information**, refer to the README files in > the Kumo-TS repository: > > - **[`Kumo-Anomaly/README.md`](https://github.com/NVIDIA/Kumo-TS/blob/main/Kumo-Anomaly/README.md)** — full SDK reference, model architecture, and API docs > - **[`Kumo-Anomaly/examples/datasets/README.md`](https://github.com/NVIDIA/Kumo-TS/blob/main/Kumo-Anomaly/examples/datasets/README.md)** — dataset format, synthetic data generation, and CSV conventions ## External dependencies | Dependency | Purpose | Install | |---|---|---| | Python 3.12+ | Runtime | https://www.python.org/downloads/ | | uv | Package + environment manager | `pip install uv` | | CUDA toolkit (optional) | GPU acceleration | https://developer.nvidia.com/cuda-downloads | …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-finetune-kumo-anomaly@sha256:d2018066dbfbf679The line at the top of this page pins the label v0.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_shlu7f3nhoggfmmv)
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Versions
The registry has recorded 1 version of this file, committed on Sep 29, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13587 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_shlu7f3nhoggfmmv GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-kumo-anomaly GET https://markdownregistry.com/api/v1/blob/d2018066dbfbf679b74bd0b52ec9cc19874613f1c676d9f56161529a4e564bf5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.