⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

🖥️ Self-Hosted Services

Ragflow API Clientv1.0.2

Name: Ragflow API Client
Author: angusthefuzz

ragflow

angusthefuzz

Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

2.4K

Stars

CreatedFeb 14, 2026

UpdatedMay 17, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install angusthefuzz/ragflow

Skill Package3 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B59/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation8/35

· 535 downloads (moderate demand)
· No tracked installs (may still have real users via manual install)
· 3 stars

Documentation18/25

· SKILL.md present
· Moderate documentation (≥1500 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness8/15

Security Analysis

💙 Low Risk

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://rag.example.com

Audited Apr 18, 2026 · audit v1.0

💡

Usage Guide

Generated Mar 21, 2026

DevelopersData ScientistsBusiness AnalystsIT Administratorsintermediate

💡 Application Scenarios

Healthcare Knowledge Base ManagementHealthcare

Medical institutions can use this skill to create datasets of clinical guidelines, research papers, and patient education materials. It enables healthcare professionals to quickly query the knowledge base for evidence-based answers, improving decision-making and patient care efficiency.

Legal Document Analysis and RetrievalLegal

Law firms can upload case files, statutes, and legal precedents into datasets. Lawyers can run chat queries to retrieve relevant information for cases, streamlining research and reducing manual review time for complex legal documents.

Customer Support AutomationTechnology/Support

Companies can build knowledge bases from product manuals, FAQs, and support tickets. Customer service agents or chatbots can query these datasets to provide accurate, instant responses to customer inquiries, enhancing support quality and reducing response times.

Academic Research AssistanceEducation

Universities and researchers can create datasets from academic papers, textbooks, and lecture notes. Students and faculty can use chat queries to find relevant sources or explanations, facilitating learning and accelerating literature reviews for projects.

Corporate Compliance MonitoringFinance/Compliance

Businesses can upload regulatory documents, policies, and audit reports into datasets. Compliance officers can query the knowledge base to ensure adherence to laws and internal standards, helping mitigate risks and maintain operational integrity.

💼 Business Models

SaaS SubscriptionRecurring subscription fees

Offer this skill as part of a subscription-based service where users pay monthly or annually for access to enhanced Ragflow API features, priority support, and advanced analytics. Revenue is generated through tiered pricing based on usage limits or dataset sizes.

Consulting and Integration ServicesService fees and retainers

Provide professional services to help businesses integrate this skill into their existing workflows, customize datasets, and train staff. Revenue comes from one-time project fees or ongoing retainer agreements for maintenance and optimization.

Freemium Model with Premium FeaturesUpgrade sales and feature unlocks

Offer a free version with basic dataset management and query capabilities, then charge for advanced features like bulk uploads, API rate limits, or integration with other tools. Revenue is generated through upgrades and add-ons for power users.

💬 Integration Tip

Ensure the Ragflow instance is properly configured with secure API keys and test dataset operations in a staging environment before deploying to production to avoid data loss.