qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
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High
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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
The prompt shows code that passes an API key directly as api_key="your-api-key" in the QdrantClient constructor, which encourages embedding secret values verbatim in generated code/outputs and therefore requires the LLM to handle secrets directly.
- Repository
- NousResearch/hermes-agent
- Commit
4c9628e
- Audited
- Security analysis
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