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/dynamo-recipe-runner

@efd358a
by NVIDIA Corporationnvidia/skills3.5k stars
424

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.

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Use this Skill: https://skilld.dev/gh/nvidia/skills/dynamo-recipe-runner

This session only. Nothing lands on disk.

BENCHMARK.md

≈679 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Evaluation Report

Evaluation of the dynamo-recipe-runner 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: dynamo-recipe-runner
  • Evaluation date: 2026-05-28
  • NVSkills-Eval profile: external
  • Overall verdict: FAIL
  • 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 4 total findings.

Top findings:

  • MEDIUM SECURITY/Unknown (SQP-2): The skill instructs an agent to run 'kubectl apply' commands against a Kubernetes cluster without any explicit user conf (SKILL.md:115)
  • LOW QUALITY/quality_discoverability: Description very long (223 chars, recommend 50-150) (skills/dynamo-recipe-runner/SKILL.md)
  • LOW SCHEMA/unexpected_file: Unexpected 'skill-card.md' in skill root (skills/dynamo-recipe-runner/skill-card.md)
  • LOW SCHEMA/unexpected_file: Unexpected 'skill.oms.sig' in skill root (skills/dynamo-recipe-runner/skill.oms.sig)

Tier 2: Deduplication Summary

Tier 2 validation reported findings. NVSkills-Eval ran 2 checks and found 1 total findings.

Top findings:

  • HIGH DUPLICATE/duplicate: Duplicate content found within SKILL.md: "## Available Scripts" in SKILL.md (lines 127-140) vs "## Examples" in SKILL.md (lines 141-160) (SKILL.md:127)

Publication Recommendation

The skill should be reviewed before NVSkills-Eval publication. Skill owners should address the findings above and rerun NVSkills-Eval to refresh this benchmark.

Source: SKILL.md on GitHub

Third-party checks

1 warning3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    The skill facilitates the deployment of AI model recipes on Kubernetes using kubectl and a custom validation tool. It follows security best practices for secret management and includes a cryptographic signature to ensure the integrity of its files. No malicious patterns or high-risk vulnerabilities were detected.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: MEDIUM · 1 issue

Provenance

Signed by skilld at efd358a. 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

Capability

Other metadata
metadata
{
  "author": "Dan Gil <dagil@nvidia.com>",
  "tags": [
    "dynamo",
    "kubernetes",
    "recipes",
    "bring-up"
  ],
  "permissions": [
    "file_read",
    "network",
    "kubectl_exec"
  ]
}

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