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/earth2studio-create-prognostic

@4cb1092
by NVIDIA Corporationnvidia/skills3.5k stars
424

Create Earth2Studio prognostic (time-stepping forecast) model wrappers. Do NOT use for diagnostic models, data sources, or installation.

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Use this Skill: https://skilld.dev/gh/nvidia/skills/earth2studio-create-prognostic

This session only. Nothing lands on disk.

referencespr-body-template.md

≈624 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Description

Add ClassName prognostic model for BRIEF_DESCRIPTION.

Blocked by: OPTIONAL_PR_OR_ISSUE Closes: OPTIONAL_ISSUE

Model details

Property Value
Architecture PyTorch / ONNX / JAX / other
Time step Xh
Input variables N variables (brief groups or link to implementation)
Output variables N variables (brief groups or link to implementation)
Spatial resolution X degree x Y degree (NxM grid)
History required None / Xh / lead-time list
Checkpoint source HuggingFace / NGC / S3 / other
Checkpoint size XX MB / GB
Checkpoint license LICENSE_NAME / Unknown
Reference PAPER_OR_REPO_URL
GitHub REPO_URL

If the checkpoint or model-weight license is not clearly documented, write Unknown and explain where you checked in the PR text or a follow-up comment.

Dependencies added

Package Version License License URL Reason
PACKAGE_NAME >=X.Y LICENSE_TYPE link REASON

Every model must have a dependency extra. If the extra is empty, write that no third-party packages are added and name the empty model extra. For each new dependency, check the package repository or package index, link directly to the license, and flag any non-permissive license for maintainer review.

Reference comparison

Reference comparison validated against the vanilla third-party implementation using matched inputs and deterministic settings where applicable.

Single step:

  • Max absolute difference: VALUE
  • Mean absolute difference: VALUE
  • Correlation: VALUE

Multi-step (N steps / LEAD_TIME):

  • Step 1: max_abs=VALUE, corr=VALUE
  • Step N: max_abs=VALUE, corr=VALUE

Validation

See the reference-comparison validation comment below. Plot placeholders are included for manual image upload by the PR author.

Checklist

  • I am familiar with the Contributing Guidelines.
  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.
  • The CHANGELOG.md is up to date with these changes.
  • An issue is linked to this pull request.
  • Assess and address Greptile feedback (AI code review bot).

Source: SKILL.md on GitHub

Third-party checks

2 warnings3mo3 checks · Risk MEDIUM
  • Gen Agent Trust Hub3mo

    This skill facilitates the creation of wrappers for machine learning weather models. It involves fetching and executing third-party inference scripts and uses an unsafe deserialization pattern (torch.load with weights_only=False) which can lead to arbitrary code execution if used with malicious model checkpoints.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: MEDIUM · 1 issue

Provenance

Signed by skilld at 4cb1092. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 months ago

Capability

version
0.16.0
argument-hint
URL or local path to reference inference script (optional)
Other metadata
metadata
{
  "author": "NVIDIA Earth-2 Team <agent-skills@nvidia.com>",
  "tags": [
    "earth2studio",
    "prognostic-model",
    "python"
  ]
}

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