Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
72
66%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./databricks-skills/databricks-python-sdk/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Insecure credential handling detected (high risk: 1.00). The prompt includes examples that hard-code and pass secret values verbatim (e.g., WorkspaceClient(token="dapi..."), azure_client_secret="secret", put_secret(..., string_value="secret123")), which instructs embedding secrets directly in generated code/commands and thus requires the LLM to handle/output secrets.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.80). The SKILL.md explicitly tells the agent to "Fetch and verify" documentation from public ReadTheDocs URLs (e.g., https://databricks-sdk-py.readthedocs.io/...), so the agent is expected to retrieve and interpret open/public third‑party content that could influence subsequent tool use and decisions.
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