No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Azure-Samples · Agent Tool · ★ 132
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Azure Language OpenAI Conversational Agent Accelerator This accelerator template provides users with a code-first example for creating and enhancing chat solutions and agents with deterministic, human-controllable workflows. It is designed to minimize the need for extensive prompt engineering by using a structured workflow to prioritize top questions with exact answers, top intents with deterministic routing, and use LLM to handle long tail topics. These actions help to ensure determinism and consistency. The template also provides flexibility to swap, add, or remove agents/components to tailor to your specific needs. This template is perfect for developers and organizations looking to design, customize, and manage agents that can handle complex queries, route tasks, and provide reliable answers, all with a controlled, scalable architecture. MENU: FEATURES • AGENT ARCHITECTURE • GETTING STARTED
| Stars | 132 |
| Forks | 115 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.8136354985489/100 |
| Open Issues | 7 |
| Last Updated | 2025-11-14 |
| Created | 2024-11-05 |
| Platforms | python |
| Est. Tokens | ~243k |
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Azure-Language-OpenAI-Conversational-Agent-Accelerator is A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Questio. It is categorized as a Agent Tool with 132 GitHub stars.
Azure-Language-OpenAI-Conversational-Agent-Accelerator is primarily written in Python. It covers topics such as ai-azd-templates, azd-templates, azure-language.
You can find installation instructions and usage details in the Azure-Language-OpenAI-Conversational-Agent-Accelerator GitHub repository at github.com/Azure-Samples/Azure-Language-OpenAI-Conversational-Agent-Accelerator. The project has 132 stars and 115 forks, indicating an active community.
Azure-Language-OpenAI-Conversational-Agent-Accelerator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Azure-Language-OpenAI-Conversational-Agent-Accelerator on Agent Skills Hub include claude-bootstrap, joinly, lazy-bird. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: