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agent-spawner

Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills from the current agent. User answers 2-3 questions. Use when the user wants to create, spin up, deploy, or provision a new OpenClaw agent.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 0.1.0
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agent-spawner

# Agent Spawner Deploy a new OpenClaw agent conversationally. Official install, carry over config from the current agent. User never edits a file. ## 1. Read Current Config (silent) ```bash cat ~/.openclaw/openclaw.json cat ~/.openclaw/.env 2>/dev/null env | grep -iE 'API_KEY|TOKEN' ls ~/.openclaw/extensions/ ls <workspace>/skills/ ``` Identify: - **Provider**: check `auth.profiles` in config — could be Anthropic, OpenAI, Gemini, custom, etc. - **API key**: from env var or config (e.g. `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`, `OPENAI_API_KEY`) - **Model**: from `agents.defaults.model` - **Tool keys**: anything in `tools.*` (search APIs, etc.) - **Plugins**: `plugins.installs` — names and npm specs - **Skills**: run `openclaw skills list` to see what's bundled vs workspace-only. Only carry over non-bundled skills. ## 2. Ask 1. **"Where should I deploy it?"** — Docker (local or remote SSH) or bare metal? 2. **"Name?"** — for container. Generate one if they don't care. 3. **"Anything special?"** — purpose, constraints. Optional. Don't ask about keys, plugins, skills, ports, or config. Carry everything over, use defaults. ## 3. Confirm Plan After gathering answers, present the full plan before doing anything. Show everything in one summary: ``` Here's the plan: 📦 Deploy: Docker on <target> 📛 Name: <agent-name> 🌐 Port: <port> Carrying over from current agent: ✅ Provider: Anthropic (API key) ✅ Model: anthropic/claude-sonnet-4-20250514 ✅ Brave Search API key ✅ Plugins: openclaw-agent-reach ✅ Skills: agent-spawner, weather ✅ Heartbeat: 30m The new agent will bootstrap its own identity on first message. Good to go? ``` Only list items that actually exist. Wait for explicit confirmation before proceeding. If the user wants changes, adjust and re-confirm. ## 4. Deploy ### Docker ```bash git clone https://github.com/openclaw/openclaw.git <agent-name> cd <agent-name> ``` Set env and run non-interactive onboard. Match the provider detected in step 1: ```bash export OPENCLAW_IMAGE=alpine/openclaw:latest export OPENCLAW_CONFIG_DIR=~/.openclaw-<agent-name> export OPENCLAW_WORKSPACE_DIR=~/.openclaw-<agent-name>/workspace export OPENCLAW_GATEWAY_PORT=<unused port, default 18789> export OPENCLAW_GATEWAY_BIND=lan mkdir -p $OPENCLAW_CONFIG_DIR/workspace ``` **Onboard flags vary by provider.** Use the matching `--auth-choice` and key flag: | Provider | --auth-choice | Key flag | |----------|--------------|----------| | Anthropic | `apiKey` | `--anthropic-api-key` | | Gemini | `gemini-api-key` | `--gemini-api-key` | | OpenAI | `apiKey` | (set `OPENAI_API_KEY` env) | | Custom | `custom-api-key` | `--custom-api-key` + `--custom-base-url` + `--custom-model-id` | ```bash docker compose run --rm openclaw-cli onboard --non-interactive --accept-risk \ --mode local \ --auth-choice <detected> \ --<provider>-api-key "$API_KEY" \ --gateway-port 18789 \ --gateway-bind lan \ --skip-skills docker compose up -d openclaw-gateway ``` Official compose uses **bind mounts** — host user owns files, no permission issues. Onboard error about gateway connection is expected (not running yet). Config is written. ### Bare metal ```bash curl -fsSL https://openclaw.ai/install.sh | bash -s -- --no-onboard openclaw onboard --non-interactive --accept-risk \ --mode local \ --auth-choice <detected> \ --<provider>-api-key "$API_KEY" \ --gateway-port 18789 \ --gateway-bind lan \ --install-daemon \ --daemon-runtime node \ --skip-skills ``` ## 5. Patch Running Agent CLI alias: - Docker: `OC="docker compose exec openclaw-gateway node /app/openclaw.mjs"` - Bare metal: `OC="openclaw"` **Config** (only patch what the current agent actually has): ```bash $OC config set agents.defaults.model "<model>" $OC config set agents.defaults.heartbeat.every "30m" # Tool keys — only if they exist in current config $OC config set tools.web.search.apiKey "<key>" ``` **Plugins** (from `plugins.installs` in current config): ```bash $OC plugins install <npm-spec> # Repeat for each plugin ``` **Skills** (copy workspace skills): ```bash # Docker docker cp <source-workspace>/skills/ <container>:/home/node/.openclaw/workspace/skills/ # Bare metal cp -r <source-workspace>/skills/ ~/.openclaw/workspace/skills/ ``` **Restart:** ```bash docker compose restart openclaw-gateway # Docker openclaw gateway restart # bare metal ``` ## 6. Hand Off Read the gateway token: ```bash grep -A1 '"token"' $OPENCLAW_CONFIG_DIR/openclaw.json ``` Tell the user: - **URL:** `http://<host>:<port>/` - **Token:** (from config — onboard auto-generates one) - "Say hello — it'll bootstrap itself." ## Notes - `openclaw` not in PATH inside Docker. Use `node /app/openclaw.mjs`. - `--accept-risk` required for non-interactive onboard. - `alpine/openclaw:latest` — pre-built official image. - Don't use named Docker volumes — root ownership issues. Official compose uses bind mounts. - Multiple agents on same host: use different `OPENCLAW_CONFIG_DIR` and `OPENCLAW_GATEWAY_PORT`. - Plugins and skills persist in `~/.openclaw/` volume (extensions/ and workspace/skills/). - SSH keys, git config, apt packages are ephemeral — not in the volume, by design.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 agent-spawner-1776419934 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 agent-spawner-1776419934 技能

通过命令行安装

skillhub install agent-spawner-1776419934

下载 Zip 包

⬇ 下载 agent-spawner v0.1.0

文件大小: 2.99 KB | 发布时间: 2026-4-17 18:05

v0.1.0 最新 2026-4-17 18:05
Initial release: enables conversational deployment of new OpenClaw agents with minimal user input.

- Gathers current agent's provider, API keys, plugins, and workspace skills automatically.
- Asks user only for deployment target, agent name, and optional purpose.
- Shows detailed deployment plan and waits for user confirmation.
- Supports both Docker (local or remote) and bare metal installations.
- Migrates relevant configs, tool keys, plugins, and custom skills to the new agent.
- Presents final access URL and token upon successful agent creation.

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