mcore-testing SKILL.md skillA
mcore-testing from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/mcore-testing@git:20260529.416539cPins git:20260529.416539c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/mcore-testing/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260529.416539c, committed May 29, 2026
- Size
- 7,443 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Testing Guide
---
## Answer-First Testing Facts
For questions about disabling tests without deleting them:
- Functional recipe entries stay in YAML; disable by suffixing scope with
`-broken`, for example `scope: [mr-github]` -> `scope: [mr-github-broken]`.
- Unit-test skips use pytest markers instead: `@pytest.mark.flaky_in_dev` skips
in the default dev environment, and `@pytest.mark.flaky` skips in LTS.
- Do not delete the test case or recipe entry when the goal is discoverability
and easy re-enable.
---
## Test Layout
```text
tests/
├── unit_tests/ # pytest, 1 node × 8 GPUs, torch.distributed runner
├── functional_tests/ # end-to-end shell + training scripts
│ └── test_cases/
│ └── {model}/{test_case}/
│ ├── model_config.yaml # training args
│ └── golden_values_{env}_{platform}.json
└── test_utils/
├── recipes/
│ ├── h100/ # YAML recipes for H100 jobs
│ └── gb200/ # YAML recipes for GB200 jobs
└── python_scripts/ # helpers (recipe_parser, golden-value download, …)
```
---
## How Tests Execute
The GitHub Actions runner invokes `launch_nemo_run_workload.py`, which uses
…Read the whole file at its exact version.
How to install
mdr add nvidia/skills/mcore-testing@sha256:a43229bf5eb517b1The line at the top of this page pins the label git:20260529.416539c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3rd2dxn4rhmxt7xt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 29, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7443 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3rd2dxn4rhmxt7xt GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/mcore-testing GET https://markdownregistry.com/api/v1/blob/a43229bf5eb517b12742bfe9b27398c6d5854af7f2afd7906fcbfecdc96da3d8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.