Recognize Intent

识别自然语言的意图类别并解析其中的语义，包括指标和维度，例如："今天的缤果店的业绩如何 " ,将提取指标：订单成交额（业绩） ，维度：年月日-今天（2026-03-10） ，店铺-缤果店 ...

This skill appears to implement intent recognition as described, but pay attention to these points before installing: - .env loading: index.js will read a skills/.env (if present) and inject those variables into the process environment, and the Python subprocess inherits the entire environment. Avoid storing unrelated secrets in .env or the agent environment if you enable this skill. - Remote LLM calls: the Python code can call a Gemini REST endpoint (gemini_api_url) using gemini_api_key / token. If you supply those creds or they exist in environment, the user query and generated prompts will be sent to that endpoint. Only provide keys for a trusted host. - Optional connectors: SKILL.md references Milvus/MySQL/semantic services. Those are optional and degrade gracefully if not provided, but if you configure them they will be contacted and may receive parts of user input or metadata. - Dependency/runtime: this bundle expects Python and the httpx library (and possibly other Python libs). Test in a sandbox or ensure dependencies are installed in a controlled environment. - Inconsistencies: SKILL.md suggests file-based workflows (reading rewrite_output.json and writing intent_output.json) but the packaged index.js uses stdin/stdout instead; expect differing behaviors depending on how you invoke the skill. Recommendations: inspect any skills/.env file before use, avoid placing unrelated secrets in the agent environment, only provide Gemini/API credentials if you trust the endpoint, and test the skill in an isolated environment first.

Type: OpenClaw Skill Name: recognize-intent Version: 1.0.0 The skill bundle implements a complex intent recognition and semantic extraction gateway for a BI system, utilizing LLMs (Gemini) and vector databases (Milvus/MySQL). The code in `recognize_intent.py` and `index.js` is well-structured and aligns with the stated purpose of parsing natural language queries into structured metrics and dimensions. While the skill requires access to environment variables and external network endpoints for database and API connectivity, there is no evidence of malicious intent, data exfiltration, or unauthorized command execution.