安全扫描
OpenClaw
安全
high confidence该技能的代码、指令和依赖与规范驱动的 OpenClaw 编排插件内部一致,未请求无关的凭证或异常安装产物。
安全有层次,运行前请审查代码。
版本
latestv0.5.12026/3/24
● 无害
安装命令 点击复制
官方npx clawhub@latest install openclaw-swarm-layer
镜像加速npx clawhub@latest install openclaw-swarm-layer --registry https://cn.clawhub-mirror.com
插件文档
规范驱动的 AI 智能体群工作流编排
将 Markdown 规范转化为可执行的任务图。通过 ACP 自动化或手动回退进行调度。监督进度、处理失败并生成报告。
功能
- 规范解析 — 从 Markdown 文件解析任务依赖图
- 任务调度 — 自动分配任务给可用的智能体
- 进度监控 — 实时跟踪任务执行状态
- 失败处理 — 自动重试和回退机制
- 报告生成 — 生成执行报告和统计
安装
openclaw plugins install openclaw-swarm-layer
使用
- 创建 Markdown 规范文件定义任务和依赖
- 插件自动解析并生成任务图
- 智能体按依赖顺序执行任务
- 实时监控进度和处理异常
要求
- OpenClaw >= 2026.3.0
# OpenClaw Swarm Layer
### Spec-Driven Workflow Orchestration for AI Agent Swarms
Turn Markdown specs into executable task graphs. Dispatch through ACP automation or manual fallback. Supervise progress with a control plane. Track with persistent sessions. Gate with review approval.
[](CHANGELOG.md)
[](LICENSE)
[](https://nodejs.org)
[](https://openclaw.dev)
[](#development)
[Quick Start](#quick-start) · [Installation](#installation) · [CLI Reference](#cli-commands) · [Configuration](docs/configuration.md) · [Docs](#documentation)
---
## Features
- **Spec-driven planning** — Markdown spec with goals and phased tasks → dependency-ordered task graph
- **ACP-first execution** — ACP is the only default-capable automated runner; capability-aware `auto` resolution
- **Supervised autopilot** — Deterministic control-plane tick, lease-backed service loop, and operator-visible start/pause/resume/stop controls
- **Persistent sessions** — Reuse, thread binding, follow-up, steer, cancel, and close flows
- **Review gates** — Explicit approve/reject with structured quality rubrics (weighted multi-dimension scoring)
- **Sprint contracts** — Verifiable acceptance criteria per task with GAN-inspired evaluator injection
- **Cross-session continuity** — Progress synthesis, bootstrap startup sequence, harness assumption tracking
- **Automatic retry** — Configurable per-task retry policy with dead letter tracking and signal-based auto-retry
- **Concurrency protection** — ACP session concurrency limits with queued task scheduling (FIFO)
- **Reject-retry workflow** — Review rejections return tasks to ready for re-run; configurable retry limits
- **Parallel dispatch** — `--parallel N` and `--all-ready` batch dispatch with concurrency-aware slot management
- **Operator reporting** — Status snapshots, run/review logs, spec archives, completion summaries → local + Obsidian sync
- **Runtime diagnostics** — `swarm doctor`, `swarm status`, and workflow reports surface ACP bridge-exit gate directly
## Prerequisites
- **Node.js** >= 22
- **OpenClaw** >= 2026.3.22 (tested against `2026.4.8`)
## Installation
### From ClawHub (recommended)
```bash
openclaw plugins install clawhub:openclaw-swarm-layer
```
### Skill From ClawHub
```bash
openclaw skills install swarm-layer
```
### From npm
```bash
npm install -g openclaw-swarm-layer
openclaw plugins install openclaw-swarm-layer
```
### From source
```bash
git clone https://github.com/xucheng/openclaw-swarm-layer.git
cd openclaw-swarm-layer
npm install && npm run build
openclaw plugins install -l /path/to/openclaw-swarm-layer
```
## Quick Start
```bash
# 1. Initialize a project
openclaw swarm init --project /path/to/your/project
# 2. Import a spec and build the workflow
openclaw swarm plan --project /path/to/your/project --spec SPEC.md
# 3. Inspect runtime posture before execution
openclaw swarm doctor --json
openclaw swarm status --project /path/to/your/project --json
# 4. Dry-run with the resolved default runner
openclaw swarm run --project /path/to/your/project --dry-run --json
# 5. Execute
openclaw swarm run --project /path/to/your/project --json
# 6. Review and report
openclaw swarm review --project /path/to/your/project --task 数据来源:ClawHub ↗ · 中文优化:龙虾技能库
OpenClaw 技能定制 / 插件定制 / 私有工作流定制
免费技能或插件可能存在安全风险,如需更匹配、更安全的方案,建议联系付费定制