ragie-ragExecute Retrieval-Augmented Generation (RAG) using Ragie.ai. Use this skill whenever the user wants to: - Search their knowledge base - Ask questions about u...
Install via ClawdBot CLI:
clawdbot install hatim-be/ragie-ragGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://app.ragie.aiAI Analysis
The skill's external API usage (Ragie.ai) is consistent with its stated RAG purpose, and the credential requirement is explicitly documented. The primary risk is the standard dependency on a third-party service for document processing and storage, which is an inherent privacy consideration for any cloud-based RAG tool.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Law firms can upload case files, contracts, or legal precedents to Ragie.ai, enabling lawyers to quickly search for relevant clauses, precedents, or specific legal terms. This reduces research time and ensures answers are grounded in uploaded documents, minimizing errors in legal advice.
Companies can ingest product manuals, FAQs, and support tickets into Ragie.ai, allowing support agents to retrieve accurate, context-specific answers to customer queries. This improves response accuracy and consistency while reducing training time for new agents.
Researchers and students can upload academic papers, textbooks, or datasets to Ragie.ai, facilitating quick retrieval of relevant information for literature reviews or hypothesis testing. This enhances productivity by providing grounded answers from trusted sources.
Healthcare organizations can store regulatory documents, policy handbooks, and compliance guidelines in Ragie.ai, enabling staff to query specific regulations or procedures. This ensures responses are based on current policies, aiding in audit preparation and training.
Financial analysts can upload quarterly reports, market analyses, or investment documents to Ragie.ai, allowing for rapid retrieval of financial data or trends. This supports data-driven decision-making with citations to source documents.
Offer tiered subscription plans based on usage volume, such as number of documents ingested or API calls per month. This provides predictable revenue and scales with customer needs, targeting businesses of all sizes.
Sell customized enterprise packages with advanced features like dedicated support, enhanced security, and integration services. This model caters to large organizations requiring high reliability and compliance.
Provide a free tier with limited document storage and retrieval capabilities, encouraging user adoption. Upsell to premium tiers for increased limits, advanced analytics, or priority support, driving conversion from free users.
💬 Integration Tip
Ensure the RAGIE_API_KEY is securely stored in environment variables and test ingestion workflows with sample documents before full deployment to avoid errors.
Scored Apr 19, 2026
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