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/earth2studio-deterministic-forecast

@55d907b
by NVIDIA Corporationnvidia/skills3.5k stars
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Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.

Use this Skill: https://skilld.dev/gh/nvidia/skills/earth2studio-deterministic-forecast

This session only. Nothing lands on disk.

BENCHMARK.md

≈761 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Evaluation Report

Evaluation of the earth2studio-deterministic-forecast 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-deterministic-forecast
  • Evaluation date: 2026-06-02
  • 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 7 total findings.

Top findings:

  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (skills/earth2studio-deterministic-forecast/SKILL.md)
  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (skills/earth2studio-deterministic-forecast/SKILL.md)
  • MEDIUM SECURITY/Unknown (SDI-2): The script appends to /etc/environment without sanitizing the REPO_ROOT variable, which could allow path injection if RE (evals/environment/setup/bootstrap.sh:27)
  • MEDIUM SECURITY/Unknown (SQP-2): Writing to /etc/environment modifies system-wide environment configuration for all users and processes in the container (evals/environment/setup/bootstrap.sh:27)
  • LOW QUALITY/quality_discoverability: No '## Purpose' section (skills/earth2studio-deterministic-forecast/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 2 file(s)
  • Inter-Skill Deduplication: Parsed skill 'earth2studio-deterministic-forecast': 158 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 MEDIUM
  • Gen Agent Trust Hub3mo

    The Earth-2 deterministic forecast skill is functional for creating weather prediction scripts. However, a setup script in the evaluation environment modifies a system configuration file (/etc/environment), which could be exploited for path injection. Users should ensure the environment variables are securely managed.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: LOW · No issues

Signed by skilld at 55d907b. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 4 months ago
version
0.16.0
Other metadata
metadata
{
  "author": "NVIDIA Earth-2 Team",
  "tags": [
    "earth2studio",
    "earth2",
    "python",
    "inference",
    "forecast",
    "deterministic"
  ]
}

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