rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
72
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Impact
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Advisory
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Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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: 0.90). Flagged because the LateChunker example calls AutoModel.from_pretrained("jinaai/jina-embeddings-v2-base-en", trust_remote_code=True), which at runtime will fetch and may execute remote model code from https://huggingface.co/jinaai/jina-embeddings-v2-base-en, making it a required external dependency that can run remote code.
- Repository
- jeffallan/claude-skills
- Commit
e8be415
- Audited
- Security analysis
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