Doca Rdma

What it does

This source provides a task-specific instruction workflow for Data & databases. 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 Data & databases 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 on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC. Resolves the local install and module via `pkg-config --list-all | grep -i doca` and `pkg-config --variable=prefix MODULE`, replacing `MODULE` with the exact name returned by the preceding query. The normal module is the umbrella `doca`, while split installs may expose a per-library module. 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/25340619336e89bcc40365c28bfe9e790430468e/skills/doca-rdma --skill doca-rdma

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.

No configured text patterns matched. Unmatched or concealed behavior can still exist.

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