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Install in OpenClaw
/install stream-ai-answer
Description
通用流式AI检索问答技能 — 为任意行业应用提供四步流式分析交互界面。 触发场景：用户输入关键词 → AI自动执行：理解意图 → 检索知识库 → 流式生成 → 来源标记 → 完整回答。 当需要实现以下任意场景时激活： (1) AI搜索框 / 智能咨询组件重构 (2) 知识库问答（医疗/法律/金融/教育等垂直领域）...
Usage Guidance
This package is internally consistent: it provides React/Tailwind UI components and prompt templates for streaming RAG-style answers. Before using it in production, do these things: (1) Never embed real API keys in frontend code — route streaming calls through a backend proxy that injects credentials server-side and enforces rate limits and scope. (2) Review and adapt the prompts and disclaimers for regulated domains (medical/legal/financial); add stronger disclaimers or human-in-the-loop if required by policy. (3) Validate the source-parsing logic against the kinds of model output you expect so the UI doesn't surface malformed links. (4) Ensure your streaming endpoint supports CORS and SSE safely, and that logs do not leak user-submitted sensitive data. (5) Limit API key scopes and rotate keys; enforce rate limits and monitoring on the proxy. If you want, I can point out exact lines in the code that would need changing to move the streamAI call to a secure backend.
Capability Analysis
Type: OpenClaw Skill
Name: stream-ai-answer
Version: 1.0.0
The skill bundle provides a legitimate UI template and implementation guide for a streaming AI response interface across various industries (medical, legal, etc.). The code in assets/AIAnalysisCard.tsx and references/frontend-pattern.md consists of standard React components and fetch-based streaming logic without any evidence of data exfiltration, malicious execution, or prompt injection.
Capability Tags
Capability Assessment
Purpose & Capability
Name, description, and included files (React component, frontend pattern, prompts) are coherent: the package provides UI templates and prompt templates for streaming retrieval-augmented answers. The listed supported LLMs and 'stream:true' requirement align with the streaming UI.
Instruction Scope
SKILL.md is an implementation guide and includes frontend code and prompt templates. It does not instruct the agent to read unrelated system files or exfiltrate data. However, the provided streamAI() example and the 'quick integrate' instructions are clearly targeted at front-end usage; inexperienced implementers could copy the streaming fetch into a browser app and supply an API key client-side (insecure). The instructions do not explicitly warn against exposing API keys in public clients.
Install Mechanism
No install spec (instruction-only plus code files). No downloads or executables are fetched by the skill. Risk from installation is minimal.
Credentials
Skill declares no required environment variables or credentials, which is consistent for a UI/pattern library. The sample streamAI() function accepts an apiKey parameter (and shows sending it as a Bearer token). That is appropriate for calling LLM APIs, but because the examples are client-side, implementers must not put real provider keys in frontend code—use a backend/proxy instead.
Persistence & Privilege
Skill does not request persistent or platform-level privileges (always:false). There is no mechanism in the package that modifies other skills or agent configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stream-ai-answer - After installation, invoke the skill by name or use
/stream-ai-answer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
通用流式AI检索问答四步流水线Skill，支持任意行业知识库场景（医疗/法律/金融/教育），提供DeepSeek风格四步分析卡片和完整React组件
Metadata
Frequently Asked Questions
What is 流式AI检索问答技能?
通用流式AI检索问答技能 — 为任意行业应用提供四步流式分析交互界面。 触发场景：用户输入关键词 → AI自动执行：理解意图 → 检索知识库 → 流式生成 → 来源标记 → 完整回答。 当需要实现以下任意场景时激活： (1) AI搜索框 / 智能咨询组件重构 (2) 知识库问答（医疗/法律/金融/教育等垂直领域）... It is an AI Agent Skill for Claude Code / OpenClaw, with 62 downloads so far.
How do I install 流式AI检索问答技能?
Run "/install stream-ai-answer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 流式AI检索问答技能 free?
Yes, 流式AI检索问答技能 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 流式AI检索问答技能 support?
流式AI检索问答技能 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 流式AI检索问答技能?
It is built and maintained by mingyuan (@zmy1006-sudo); the current version is v1.0.0.
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