How do I install the Ok Computer Swarm skill?

Run npx skillmds@latest add modbender/ok-computer-swarm in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ok Computer Swarm safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ok Computer Swarm?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ok Computer Swarm free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ok Computer Swarm?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ok Computer Swarm by modbender — Agent Skill

Name: Ok Computer Swarm
Rating: 4.2 (5 reviews)
Author: modbender

Ok Computer Swarm

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.

modbender Updated Sep 9, 2026 12 repo stars

File contents

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.

---name: ok-computer-swarmdescription: 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.--- # 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** ```bash 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. ---

Frequently asked questions