Doca Devemu

What it does

This source provides a task-specific instruction workflow for Development. Its source file is linked below so you can inspect the exact procedure, tools and dependencies. A full editorial review has not been completed.

Best for

Exploring Development workflows with an agent. Confirm that the source matches your task and environment.

Tradeoffs and requirements

The automated catalog record does not establish task performance or runtime safety. Check supporting scripts and external services in the source before use.

Requires DOCA SDK installed at /opt/mellanox/doca on BOTH the host AND the BlueField DPU (Ubuntu 22.04/24.04 or RHEL/SLES), with firmware emulation (PCI Generic / virtio-net / virtio-fs) enabled and the host kernel shipping the matching driver (virtio_net / virtio_fs / generic PCIe). Reads pkg-config for the chosen sub-library and inspects /opt/mellanox/doca/{lib,include,samples/doca_devemu}. The validation steps require a live DOCA install.

Install from the source

Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.

npx skills add https://github.com/NVIDIA/skills/tree/e1fc9977d3ee62170ea583eb0c7bf1804fc4855f/skills/doca-devemu --skill doca-devemu

Review pinned skill folder ↗ · CLI documentation ↗

After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.

Safety & review signals

Static review only. This is not a security audit or a guarantee of safety.

SKILL.md text only; scripts, dependencies and runtime behavior not audited.

• Network Access — review the source context.
• Shell Or Package Install — review the source context.

Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.

AI Craft Pad Skill Score

86/100 · Metadata coverage 100% · Model 1.0

Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.

Documentation

100/100

100

Maintenance

100/100

100

License Clarity

100/100

100

Repository Health

100/100

100

Compatibility Evidence

80/100

80

Popularity

64/100

64

Originality

80/100

80

Static Safety

60/100

60