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rag

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.

70

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is giuseppe-trisciuoglio/developer-kit

SKILL.md
Quality
Evals
Security
Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The SKILL.md explicitly instructs loading/ingesting documents from external sources (Step 3: "file system, database, API") and the examples (e.g., Example 3: "webRetriever" / webStore and HTML Splitter in references) show retrieving web/public content and injecting that retrieved context into prompts, which clearly exposes the agent to untrusted third‑party content that can influence next actions.

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Repository

giuseppe-trisciuoglio/developer-kit

Path

plugins/developer-kit-ai/skills/rag/SKILL.md

Audited
Security analysis
Snyk

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