databricks-app-python
Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. Handles OAuth authorization (app and user auth), app resources, SQL warehouse and Lakebase connectivity, model serving integration, foundation model APIs, LLM integration, and deployment. Use when building Python web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.
89
86%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
Potentially malicious external URL detected (high risk: 0.90). The skill at runtime calls Databricks foundation-model endpoints (configured via DATABRICKS_SERVING_BASE_URL, e.g. https://<workspace>/serving-endpoints and validated via https://<workspace>/api/2.0/serving-endpoints/<model>), and those remote model completions are consumed by the app and directly determine prompts/outputs and are required (DATABRICKS_MODEL/DATABRICKS_SERVING_BASE_URL), so this is a runtime external dependency that controls agent behavior.
- Repository
- databricks-solutions/ai-dev-kit
- Commit
b4071a0
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.