Volcengine Ai Search Rag

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.

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.

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.