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在 OpenClaw 中安装
/install volcengine-ai-search-rag
功能描述
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.
安全使用建议
This skill appears to be a high-level RAG template for Volcengine but does not state how or where it will access the Volcengine API (no API keys, endpoints, or config paths declared). Before installing or enabling it: (1) ask the publisher how credentials are supplied and where network calls will go (expected: VOLCENGINE_API_KEY, endpoint URL, region); (2) require explicit use of secure secret storage (do not paste keys into prompts); (3) test in a restricted environment to observe outbound network calls; (4) if you plan to let the agent index private data, confirm the skill's handling of sensitive documents and retention policy. Because of the missing credential/config details, treat this as incomplete and verify those gaps prior to use.
功能分析
Type: OpenClaw Skill
Name: volcengine-ai-search-rag
Version: 1.0.0
The skill bundle consists of metadata, descriptive markdown documentation, and an agent interface definition. There is no executable code, shell commands, or network calls specified. The `SKILL.md` file, which is a potential prompt injection surface, contains only high-level, descriptive instructions for a RAG workflow, without any directives to access sensitive data, exfiltrate information, or perform unauthorized actions. All content aligns with the stated purpose of implementing a Volcengine AI search RAG workflow.
能力评估
Purpose & Capability
The skill is explicitly about Volcengine embeddings, indexing, and retrieval, but it declares no required environment variables, no primary credential, and no configuration paths. A real Volcengine integration would normally require API keys/endpoint config; that mismatch suggests the skill is incomplete or expects credentials to be supplied out-of-band.
Instruction Scope
SKILL.md contains high-level, reasonable RAG workflow steps (chunking, embedding generation, indexing, retrieval, grounding). It does not instruct reading arbitrary system files or exfiltrating data, but it is vague about where the corpus comes from and how credentials/endpoints are supplied, which gives the agent broad discretion at runtime.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes disk-level risk — nothing is downloaded or executed by default.
Credentials
No environment variables or credentials are declared despite the skill targeting a cloud service. Expecting no credentials is unusual for a cloud-based embedding/search integration and could hide implicit assumptions about where API keys are stored or supplied.
Persistence & Privilege
The skill is not always-enabled, is user-invocable, and does not request system-wide config changes. It does not ask to modify other skills or agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install volcengine-ai-search-rag - 安装完成后，直接呼叫该 Skill 的名称或使用
/volcengine-ai-search-rag触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial ClawHub publish for Volcengine skills with agents metadata.
元数据
常见问题
Volcengine Ai Search Rag 是什么？
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1063 次。
如何安装 Volcengine Ai Search Rag？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install volcengine-ai-search-rag」即可一键安装，无需额外配置。
Volcengine Ai Search Rag 是免费的吗？
是的，Volcengine Ai Search Rag 完全免费（开源免费），可自由下载、安装和使用。
Volcengine Ai Search Rag 支持哪些平台？
Volcengine Ai Search Rag 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Volcengine Ai Search Rag？
由 cinience（@cinience）开发并维护，当前版本 v1.0.0。
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