据 AlphaMoat 统计,截至 2026-09,Relay To Agent 累计下载 3,872 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 2,685 位,在「AI 智能体」分类(969 个)中排名第 531 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 121 | 3,795 | 6 | - |
| SkillHub ↗ | 172 | 3,872 | 6 | — |
各平台的计数口径不同,统计时间不一致。
主文支持列出 agent、发送消息、重置会话和多轮交互。提示词及保留的会话历史会发送到所配置的第三方端点,历史可能以本地明文保留;确认端点可信、使用 HTTPS,避免发送秘密或受监管数据。 需要 Node、已配置的 agent 和 RELAY_API_KEY。会话转录会以本地明文持久保留,并非仅临时上下文;不需保留时用 --reset 或删除会话文件。发送前确认目标端点和会外传的历史内容。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,872 | — | 6 |
| 2026-08 | 3,681 | +4.0% | 6 |
| 2026-07 | 3,540 | +9.5% | 6 |
| 2026-06 | 3,233 | +3.9% | 6 |
| 2026-05 | 3,113 | — | 6 |
| 2026-03 | 2,705 | — | 6 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: relay-to-agent
description: "Relay messages to AI agents on any OpenAI-compatible API. Supports multi-turn conversations with session management. List agents, send messages, reset sessions."
homepage: https://platform.openai.com/docs/api-reference/chat
metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["node"]},"primaryEnv":"RELAY_API_KEY"}}
---
# 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 are stored locally at `~/.cache/relay-to-agent/sessions/`. Each agent+session combination keeps up to 50 messages. Use `--session` for parallel conversations with the same agent.
`--agent` and `--session` values are restricted to `[A-Za-z0-9._-]`; path separators and `..` are rejected so session files stay inside the cache directory.
## Privacy Notice
This skill is a **relay**: each message you send — plus prior session history — is transmitted to the configured OpenAI-compatible endpoint (`baseUrl` / `RELAY_BASE_URL`), which may be a third-party service. Conversation transcripts (up to 50 messages per session) are also **persisted in plaintext** on disk at `~/.cache/relay-to-agent/sessions/`.
- Do not send secrets, credentials, or regulated/sensitive data unless you trust the endpoint and control the machine.
- Use `--reset` to clear a session before sending, or delete files under the cache dir to remove stored history.
- Point `baseUrl`/`RELAY_BASE_URL` only at endpoints you trust.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。