getmeastock

全面的A股股票分析工具，提供7大核心模块（核心财务、技术指标、估值分析、股东持股、市场热度、券商盈利预测、K线图表）+ 财报、公告、新闻资讯和交易所互动问答的多维度分析。

This package is a thin client that forwards user input to a remote Prana/Claw service and will attempt to obtain and persist API credentials locally. Before installing or running it: 1) Verify the remote base URL (default is https://claw-uat.ebonex.io/) — ensure you trust that endpoint or override NEXT_PUBLIC_URL to a known production endpoint. 2) Prefer setting PRANA_SKILL_PUBLIC_KEY and PRANA_SKILL_SECRET_KEY (or PRANA_SKILL_API_KEY) instead of relying on the client's auto-fetch. 3) If you do allow auto-fetch, set PRANA_SKILL_SKIP_WRITE_API_KEY=1 to avoid persisting secrets to disk, or run in an isolated environment/VM. 4) Do not commit config/api_key.txt to source control. 5) Review the embedded ENCAPSULATION_EMBEDDED skill_key (getmeastock / getmeastock_public) and confirm it matches the service you expect. 6) Avoid running npm install / executing scripts from untrusted origins; inspect the scripts if provenance is unclear. If you need higher assurance about where data goes or who controls the backend, ask the skill provider for a verified homepage/origin and a production endpoint.

Type: OpenClaw Skill Name: getmeastock Version: 1.0.0 The skill bundle acts as a 'thin client' designed to forward user queries to a remote stock analysis service at claw-uat.ebonex.io. The scripts (scripts/prana_skill_client.py and scripts/prana_skill_client.js) manage API authentication by reading from environment variables or a local configuration file (config/api_key.txt), and include a feature to auto-fetch and save API keys if they are missing. While the scripts require network and filesystem permissions, their behavior is transparent, well-documented, and strictly aligned with the stated purpose of providing an encapsulated interface to a remote AI agent.