Explore doca pipeline language developer tools as a automation & agents workflow from NVIDIA/skills. Compare its source, maintenance and review signals before choosing it for your agent.
What it does
This source provides a task-specific instruction workflow for Automation & agents. 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 Automation & agents 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 a BlueField DPU configured to operate in DPU mode with the DPL Runtime Service container deployed and running, the dpl_rtd process active, and the DPL Development Container (publicly available on NGC) providing the developer tools. Debug sessions additionally require a DPL program compiled with the DPL Compiler debug flag -g enabled and loaded into dpl_rtd using the P4Runtime controller. 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.
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.
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