stock-data-skill
OpenClaw Skill for stock data analysis
Query crypto intelligence via Pond3r MCP — curated datasets, SQL queries, protocol metrics, yields, and market analysis. Use when the agent needs DeFi data, stablecoin yields, token opportunities, Polymarket trades, cross-protocol comparisons, or blockchain analytics.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fabriziogianni7/pond3r-skill打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Use this skill when the agent needs to query crypto/DeFi data: yields, protocol metrics, token opportunities, market analysis, or blockchain analytics. Pond3r provides an MCP server with read-only SQL access to curated datasets.
The agent needs MCP tools (list_datasets, get_schema, query) to use Pond3r. Those tools come from the runtime that executes the agent — not from the skill or env vars alone.
| Runtime | How to enable Pond3r |
|---|---|
| Cursor | Cursor Settings → MCP Servers → Add server (URL + Authorization header). See MCP Connection below. |
| Claude Desktop | Add Pond3r to claude_desktop_config.json under mcpServers. Restart Claude. |
| Claude Code | Run claude mcp add pond3r-data ... (see below). |
| OpenClaw (Docker/Telegram) | Use the CLI scripts below. They call Pond3r MCP via HTTP. Set POND3R_API_KEY in .env; the agent runs the scripts and parses JSON output. |
No extra info for the agent — the skill is enough. For runtimes with native MCP, add the API key in the MCP server config. For OpenClaw, use the scripts and POND3R_API_KEY in env.
| Setting | Value |
|---|---|
| URL | https://mcp.pond3r.xyz/mcp |
| Transport | Streamable HTTP |
| Auth | Authorization: Bearer <API_KEY> |
https://mcp.pond3r.xyz/mcp
Authorization: Bearer <YOUR_POND3R_API_KEY>
<YOUR_POND3R_API_KEY> with your key from makeit.pond3r.xyz/api-keys
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Pond3r Crypto Intelligence Skill
Use this skill when the agent needs to query crypto/DeFi data: yields, protocol metrics, token opportunities, market analysis, or blockchain analytics. Pond3r provides an MCP server with read-only SQL access to curated datasets.
## Prerequisites
- **API key**: Obtain at [makeit.pond3r.xyz/api-keys](https://makeit.pond3r.xyz/api-keys)
- **MCP setup**: Pond3r must be configured as an MCP server in the runtime (Claude Code, Cursor, Claude Desktop, etc.)
## Setup: Where Is the Agent Running?
The agent needs **MCP tools** (`list_datasets`, `get_schema`, `query`) to use Pond3r. Those tools come from the **runtime** that executes the agent — not from the skill or env vars alone.
| Runtime | How to enable Pond3r |
|---------|------------------------|
| **Cursor** | Cursor Settings → MCP Servers → Add server (URL + Authorization header). See [MCP Connection](#mcp-connection) below. |
| **Claude Desktop** | Add Pond3r to `claude_desktop_config.json` under `mcpServers`. Restart Claude. |
| **Claude Code** | Run `claude mcp add pond3r-data ...` (see below). |
| **OpenClaw (Docker/Telegram)** | Use the **CLI scripts** below. They call Pond3r MCP via HTTP. Set `POND3R_API_KEY` in `.env`; the agent runs the scripts and parses JSON output. |
**No extra info for the agent** — the skill is enough. For runtimes with native MCP, add the API key in the MCP server config. For OpenClaw, use the scripts and `POND3R_API_KEY` in env.
## MCP Connection
| Setting | Value |
|---------|-------|
| URL | `https://mcp.pond3r.xyz/mcp` |
| Transport | Streamable HTTP |
| Auth | `Authorization: Bearer <API_KEY>` |
### Cursor
1. Open **Cursor** → **Settings** (⌘+,) → **MCP**
2. Click **Add new MCP server**
3. Configure:
- **URL**: `https://mcp.pond3r.xyz/mcp`
- **Headers**: `Authorization: Bearer <YOUR_POND3R_API_KEY>`
- Replace `<YOUR_POND3R_API_KEY>` with your key from [makeit.pond3r.xyz/api-keys](https://makeit.pond3r.xyz/api-keys)
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