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/earth2studio-create-datasource

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

Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT use for fetching data with existing sources, model inference, or installation tasks.

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

This session only. Nothing lands on disk.

BENCHMARK.md

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

Evaluation Report

Evaluation of the earth2studio-create-datasource skill before publication through NVSkills-Eval.

This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.

Evaluation Summary

  • Skill: earth2studio-create-datasource
  • Evaluation date: 2026-06-01
  • NVSkills-Eval profile: external
  • Overall verdict: PASS
  • Tier 3 live agent evaluation: not available in this report

Agents Used

  • Tier 3 agent details were not available in this report.

Metrics Used

Reported benchmark dimensions:

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

Underlying evaluation signals used in this run:

  • No Tier 3 evaluation signal details were available in this report.

Test Tasks

Tier 3 evaluation task details were not available in this report.

Results

Tier 3 dimension rollup was not available in this report.

Tier 1: Static Validation Summary

Tier 1 validation passed with observations. NVSkills-Eval ran 9 checks and found 2 total findings.

Top findings:

  • LOW QUALITY/quality_discoverability: Description very long (232 chars, recommend 50-150) (skills/earth2studio-create-datasource/SKILL.md)
  • LOW QUALITY/quality_efficiency: Non-doc file in references/: testing-guide.py (skills/earth2studio-create-datasource/SKILL.md)

Tier 2: Deduplication Summary

Tier 2 validation passed. NVSkills-Eval ran 2 checks and found 0 total findings.

Notable observations:

  • Context Deduplication: Collected 4 file(s)
  • Inter-Skill Deduplication: Parsed skill 'earth2studio-create-datasource': 233 char description

Publication Recommendation

The skill is suitable to proceed toward NVSkills-Eval publication based on this benchmark. Skill owners should keep this file with the skill and refresh it when the evaluation dataset, skill behavior, or target agents materially change.

Source: SKILL.md on GitHub

1 warning3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    This skill is a development tool for creating and validating data source wrappers for the Earth2Studio framework. It follows standard software engineering practices and uses trusted tools like uv, pytest, and GitHub CLI. No malicious patterns were detected.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: MEDIUM · 1 issue

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
version
0.16.0
argument-hint
URL or description of remote data store (optional)
Other metadata
metadata
{
  "author": "NVIDIA Earth-2 Team <agent-skills@nvidia.com>",
  "tags": [
    "earth2studio",
    "earth2",
    "python",
    "data-source",
    "forecast-source",
    "integration"
  ]
}

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