rag-architect
Fail
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: CRITICALEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: Automated security scans detected the documentation URL 'https://jeffallan.github.io/claude-skills/skills/data-ml/rag-architect/' as malicious (Blacklisted). Although this is a vendor-related domain, the blacklist status indicates a security risk.
- [REMOTE_CODE_EXECUTION]: In
references/chunking-strategies.md, the skill usesAutoModel.from_pretrainedwith thetrust_remote_code=Trueparameter for thejinaai/jina-embeddings-v2-base-enmodel. This allows the library to download and execute custom code from the remote Hugging Face repository. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted external data (documents and user queries) to build RAG pipelines. This creates an attack surface where malicious instructions hidden in documents could influence the agent's behavior during retrieval or generation.
- Ingestion points:
raw_docsinSKILL.md;document_textinreferences/chunking-strategies.md. - Boundary markers: None explicitly defined in the provided code snippets to isolate data from instructions.
- Capability inventory: Extensive network operations (OpenAI, Qdrant, Cohere, Pinecone, Weaviate), local file processing, and vector database management.
- Sanitization: Minimal cleaning (whitespace removal and basic character stripping) is shown in the
clean_for_embeddingfunction, which is insufficient for preventing prompt injection.
Recommendations
- Contains 2 malicious URL(s) - DO NOT USE
Audit Metadata