domino-distributed-computing
Work with distributed computing frameworks in Domino including Apache Spark, Ray, and Dask clusters. Covers cluster configuration, on-demand clusters, choosing between frameworks, PySpark usage, and scaling workloads. Use when processing large datasets, parallel ML training, or running distributed compute jobs.
80
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Does it follow best practices?
Impact
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No eval scenarios have been run
Risky
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions
What this means
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.
Why it was flagged
Insecure credential handling detected (high risk: 0.80). The prompt includes code examples that embed credentials as literal strings (e.g., properties={"user": "user", "password": "pass"}), which encourages placing secrets directly in generated code/commands and would require the LLM to output secret values verbatim if real credentials are used.
- Repository
- dominodatalab/domino-claude-plugin
- Commit
47c6e0a
- Audited
- Security analysis
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