practicing-llmops
Pass
Audited by Gen Agent Trust Hub on Mar 6, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [SAFE]: The skill is entirely composed of Markdown documentation and reference materials. It contains no executable scripts, binaries, or active code components that could be leveraged for malicious purposes.
- [SAFE]: Credential management in the provided code examples (e.g., for OpenAI, Pinecone, and Neo4j) follows security best practices by using explicit placeholders such as 'your_api_key_here' or 'your_neo4j_password', avoiding any hardcoded secrets.
- [SAFE]: Mentions of security attack vectors like prompt injection, data poisoning, and model extraction are contained within a dedicated 'LLMSecOps' educational section intended to help users audit and secure their own LLM applications.
- [SAFE]: The skill references only well-known and trusted technology providers and open-source projects (e.g., NVIDIA, Microsoft, Google, AWS, LangChain, PyTorch) for its architectural and implementation guidelines.
- [NO_CODE]: This skill does not ship with any Python or Node.js logic files, relying solely on instructional content to guide agent and user behavior during LLMOps tasks.
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