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/mcore-testing

@416539c
by NVIDIA Corporationnvidia/skills3.5k stars
424

Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.

Use this Skill: https://skilld.dev/gh/nvidia/skills/mcore-testing

This session only. Nothing lands on disk.

skill-card.md

≈634 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Description: <br>

Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity. <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 adding, running, or debugging unit and functional tests in the Megatron-LM repository. <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, Code] <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>

1325db3b (source: git SHA, committed 2026-05-29) <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

No alerts3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    This skill provides a testing framework for Megatron-LM, including instructions for running distributed unit tests and functional workloads. It facilitates downloading validation data from GitHub and managing test configurations via YAML recipes.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: LOW · No issues

Signed by skilld at 416539c. 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
metadata
{
  "author": "Philip Petrakian <ppetrakian@nvidia.com>"
}
Other metadata
when_to_use
Adding or running a unit or functional test; understanding the test layout; writing a recipe YAML; downloading or updating golden values; reproducing a test failure locally; 'how do I add a test', 'run unit tests', 'pytest fails', 'test layout', 'golden values', 'recipe YAML', 'marker filter'.

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