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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

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skill-card.md

≈663 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Description: <br>

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes for model/backend/GPU/deployment-mode bring-up. <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 use this skill to go from user intent to a working Dynamo recipe endpoint, selecting existing Kubernetes recipes, validating and patching manifests, deploying to a cluster, and verifying the endpoint with a smoke test. <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): [Shell commands, Configuration instructions, Analysis] <br> Output Format: [Markdown with inline bash code blocks] <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>

1.2.0 (source: pyproject.toml) <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

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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