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First-party source

Databricks Aibi Dashboards

Explore databricks aibi dashboards as a testing & qa workflow from databricks/databricks-agent-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 Testing & QA. 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 Testing & QA 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 databricks CLI (>= v1.0.0)

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/databricks/databricks-agent-skills/tree/4ef2b7fe5385a5ceb7ca8abaf5e319ad6f98a33a/skills/databricks-aibi-dashboards --skill databricks-aibi-dashboards

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.

  • Credential Reference — review the source context.
  • 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

74/100 · Metadata coverage 80% · 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
0/100
0
Repository Health
85/100
85
Compatibility Evidence
80/100
80
Popularity
46/100
46
Originality
80/100
80
Static Safety
60/100
60
Read the formula and limits →

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