databricks-pipelines
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
89
87%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
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.
Why it was flagged
Third-party content exposure detected (high risk: 0.80). The skill’s workflow and API docs explicitly require reading from external/untrusted sources (e.g., Auto Loader/read_files "s3://bucket/path" in references/auto-loader(-sql).md, read_kafka/read_pubsub/read_pulsar in references/sql-basics.md, and streaming reads like spark.readStream.table(...) in SKILL.md), so the agent is expected to ingest and act on arbitrary third‑party/user-provided data as part of pipeline flows.
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: 1.00). The skill includes a prerequisite install command that pipes remote code to a shell (curl -fsSL https://raw.githubusercontent.com/databricks/setup-cli/main/install.sh | sh) which would fetch and execute remote code and is presented as a required dependency (Databricks CLI) for using the skill.
- Repository
- databricks/databricks-agent-skills
- Commit
f1c9cf7
- Audited
- Security analysis
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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.