Ok Computer Swarm

该技能为每个主题启动轻量子代理，经 DuckDuckGo 并发搜索并汇总各主题的顶部结果，输出便于下游解析的 JSON 数组，适合多主题快速调研。结果覆盖有限，且仅做极少摘要。

grahammiranda13

热度 55.13

最近更新 2026-05-11 17:27:29

分类：搜索依赖：代码执行 / 第三方 API应用场景：研究 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add openclaw-ok-computer-skill

Metadata

name: ok-computer-swarm
description: Spawn multiple sub‑agents to perform concurrent research on a list of topics, inspired by Kimi.com’s OK Computer and Agent Swarm features【453334500861599†L40-L99】. Each sub‑agent performs a DuckDuckGo search for its assigned topic and returns the top results. When all sub‑agents finish, the skill aggregates their findings into a single structured report. Use this skill for broad, multi‑topic research where parallel exploration saves time.
user-invocable: true
metadata: {"moltbot":{"emoji":"🧠","requires":{"bins":["python"]},"homepage":"https://www.grahammiranda.com/"}}

OK Computer Swarm

Overview

This skill lets OpenClaw emulate the “100 sub‑agents” style of Kimi’s Agent Swarm【453334500861599†L40-L99】. When you need to research several topics at once, the skill spins up lightweight sub‑agents that fetch the top web results via DuckDuckGo. By running these tasks in parallel, the skill reduces overall waiting time and surfaces a diverse set of sources.

Commands

`/ok-computer-swarm search`

Run concurrent searches for multiple topics.

Inputs

query (string, repeated): One or more search phrases. You can provide multiple query flags to search many topics at once. At least one query is required.

Example

python scripts/swarm_search.py --query "Agent Swarm" --query "OpenClaw skills"

Output

The script prints a JSON array where each element corresponds to a search query. Each element contains the original query and an array of result objects (title and URL). The format is easy for downstream agents to parse and can be further processed or summarised.

When to use this skill

Use ok-computer-swarm whenever you need to gather high‑level information on multiple topics concurrently. It is ideal for:

Broad research tasks that involve several different subjects.
Generating a starting point for more in‑depth analysis.
Situations where time is critical and sequential research would be too slow.

Limitations

The skill uses DuckDuckGo’s free API; results may be less comprehensive than paid search APIs.
It performs minimal summarisation. Consider integrating additional summarisation or reading tools if you need deeper insights.