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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.

skill-card.md

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

Description: <br>

Create Earth2Studio prognostic (time-stepping forecast) model wrappers. <br>

This skill is ready for commercial/non-commercial use. <br>

Owner

NVIDIA <br>

License/Terms of Use: <br>

Apache-2.0 <br>

Use Case: <br>

Developers and engineers implementing prognostic model wrappers that connect third-party ML weather models to Earth2Studio for time-stepping weather forecasts. <br>

Deployment Geography for Use: <br>

Global <br>

Known Risks and Mitigations: <br>

Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>

Reference(s): <br>

Skill Output: <br>

Output Type(s): [Code, Shell commands] <br> Output Format: [Python source files and pytest commands] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [None] <br>

Evaluation Metrics Used: <br>

Reported benchmark dimensions: <br>

  • Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. <br>
  • Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. <br>
  • Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. <br>
  • Effectiveness: Checks whether the agent performs measurably better with the skill than without it. <br>
  • Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>

Skill Version(s): <br>

0.17.0 (source: frontmatter) <br>

Ethical Considerations: <br>

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>

(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>

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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