stock-data-skill
OpenClaw Skill for stock data analysis
Relay messages to AI agents on any OpenAI-compatible API. Supports multi-turn conversations with session management. List agents, send messages, reset sessions.
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 ericsantos/relay-to-agent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。
Send messages to AI agents on any OpenAI-compatible endpoint. Works with Connect Chat, OpenRouter, LiteLLM, vLLM, Ollama, and any service implementing the Chat Completions API.
node {baseDir}/scripts/relay.mjs --list
node {baseDir}/scripts/relay.mjs --agent linkedin-alchemist "Transform this article into a LinkedIn post"
# First message
node {baseDir}/scripts/relay.mjs --agent connect-flow-ai "Analyze our latest campaign"
# Follow-up (same session, agent remembers context)
node {baseDir}/scripts/relay.mjs --agent connect-flow-ai "Compare with last month"
node {baseDir}/scripts/relay.mjs --agent linkedin-alchemist --reset "Start fresh with this article..."
| Flag | Description | Default |
|---|---|---|
--agent ID |
Target agent identifier | (required) |
--reset |
Reset conversation before sending | off |
--list |
List available agents | — |
--session ID |
Custom session identifier | default |
--json |
Raw JSON output | off |
Configure agents and endpoint in {baseDir}/agents.json:
{
"baseUrl": "https://api.example.com/v1",
"agents": [
{
"id": "my-agent",
"name": "My Agent",
"description": "What this agent does",
"model": "model-id-on-the-api"
}
]
}
export RELAY_API_KEY="sk-..." # API key (required)
export RELAY_BASE_URL="https://..." # Override base URL from config
export RELAY_CONFIG="/path/to/agents.json" # Custom config path
api.connectchat.ai/api
openrouter.ai/api/v1
localhost:4000/v1
localhost:8000/v1
localhost:11434/v1
Sessions...
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。
# Relay To Agent
Send messages to AI agents on any OpenAI-compatible endpoint. Works with Connect Chat, OpenRouter, LiteLLM, vLLM, Ollama, and any service implementing the Chat Completions API.
## List available agents
```bash
node {baseDir}/scripts/relay.mjs --list
```
## Send a message to an agent
```bash
node {baseDir}/scripts/relay.mjs --agent linkedin-alchemist "Transform this article into a LinkedIn post"
```
## Multi-turn conversation
```bash
# First message
node {baseDir}/scripts/relay.mjs --agent connect-flow-ai "Analyze our latest campaign"
# Follow-up (same session, agent remembers context)
node {baseDir}/scripts/relay.mjs --agent connect-flow-ai "Compare with last month"
```
## Reset session
```bash
node {baseDir}/scripts/relay.mjs --agent linkedin-alchemist --reset "Start fresh with this article..."
```
## Options
| Flag | Description | Default |
|------|-------------|---------|
| `--agent ID` | Target agent identifier | (required) |
| `--reset` | Reset conversation before sending | off |
| `--list` | List available agents | — |
| `--session ID` | Custom session identifier | `default` |
| `--json` | Raw JSON output | off |
## Configuration
### agents.json
Configure agents and endpoint in `{baseDir}/agents.json`:
```json
{
"baseUrl": "https://api.example.com/v1",
"agents": [
{
"id": "my-agent",
"name": "My Agent",
"description": "What this agent does",
"model": "model-id-on-the-api"
}
]
}
```
### Environment variables
```bash
export RELAY_API_KEY="sk-..." # API key (required)
export RELAY_BASE_URL="https://..." # Override base URL from config
export RELAY_CONFIG="/path/to/agents.json" # Custom config path
```
## Compatible Services
- **Connect Chat** — `api.connectchat.ai/api`
- **OpenRouter** — `openrouter.ai/api/v1`
- **LiteLLM** — `localhost:4000/v1`
- **vLLM** — `localhost:8000/v1`
- **Ollama** — `localhost:11434/v1`
- **Any OpenAI-compatible API**
## Session Management
Sessions...OpenClaw Skill for stock data analysis
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