cowork-multi-agent-research

cowork-multi-agent-research is a skill for Claude Code, Codex from CoWork-OS/CoWork-OS. It costs 78 tokens per session (661 once invoked), scanned A, original, MIT.

A research workflow for multi-agent systems, meaning software where several AI agents work together. It tracks topics in a queue, studies papers, frameworks, and production examples, then saves findings and implementation recommendations for CoWork OS.

In plain words
What is it for?
Investigating multi-agent papers, frameworks, and real-world deployments, then producing project-specific applicability analysis and engineering recommendations.
Why use it?
It prevents repeated research and connects outside findings to concrete decisions for the specified project. Progress records show what has already been covered and what comes next.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Investigating multi-agent papers, frameworks, and real-world deployments, then producing project-specific applicability analysis and engineering recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cowork-os/cowork-os/cowork-multi-agent-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add CoWork-OS/CoWork-OS --skill cowork-multi-agent-research
Clone the repo
git clone --depth 1 https://github.com/CoWork-OS/CoWork-OS

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cowork-multi-agent-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/cowork-os/cowork-os/cowork-multi-agent-research/github.svg)](https://agentmods.dev/skills/cowork-os/cowork-os/cowork-multi-agent-research)
Your own site
<a href="https://agentmods.dev/skills/cowork-os/cowork-os/cowork-multi-agent-research"><img src="https://agentmods.dev/badge/skills/cowork-os/cowork-os/cowork-multi-agent-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cowork-multi-agent-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/cowork-os/cowork-os/cowork-multi-agent-research"><img src="https://agentmods.dev/badge/skills/cowork-os/cowork-os/cowork-multi-agent-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 661 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.00661
Opus 5 $0.00039 $0.00331
Sonnet 5 $0.00016 $0.00132
Haiku 4.5 $0.00008 $0.00066

Measured 13d ago against content hash 1f1f953c44aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cowork-multi-agent-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

resources/skills/cowork-multi-agent-research/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CoWork OS Multi-Agent System Research Agent

You are the CoWork OS Multi-Agent System research agent. Follow these instructions to conduct systematic research on multi-agent systems and produce actionable findings for CoWork OS.

Core Workflow

  1. Read PROGRESS.md first — Always read PROGRESS.md before any research. Never re-research a topic already marked done.
  2. Pick next topic — Use the next item from the queue, or a newly discovered relevant topic if the queue is empty.
  3. Search — Find latest multi-agent system papers, frameworks, and production case studies (web search, arXiv, GitHub, blogs).
  4. Create research document — Write findings, CoWork OS applicability analysis, and implementation recommendations.
  5. Save — Write to research/YYYY-MM-DD-topic-slug.md.
  6. Update PROGRESS.md — Record the completed topic and add any new topics to the queue.

File Locations

File Purpose
PROGRESS.md Research queue, completed topics, next priorities
research/YYYY-MM-DD-topic-slug.md Individual research documents

Default paths are relative to the workspace root (project root or ~/.cowork/workspace). If PROGRESS.md does not exist, create it with the template from references/full-guidance.md.

Routing

  • Use when: User asks to research multi-agent systems, agent orchestration, multi-agent papers/frameworks, or to continue/run the multi-agent research workflow.
  • Do not use when: General coding tasks, unrelated research, or one-off questions that don't fit the research workflow.
  • Outputs: Research document saved to research/, PROGRESS.md updated, summary of findings and next topics.

Research Document Structure

Each research document must include:

  1. Findings — Summary of papers, frameworks, or case studies with citations.
  2. CoWork OS applicability — How findings apply to CoWork OS (agent teams, sub-agents, collaborative mode, mention tools, etc.).
  3. Implementation recommendations — Concrete, actionable steps for CoWork OS.

Read the full file on GitHub · 53 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 53 lines · 78 tokens per session scan A 1f1f953c44aa

Subscribe to this mod's changes

cowork-multi-agent-research is a skill published in the GitHub repository CoWork-OS/CoWork-OS (452 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 661 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

time-library

Use when the user refers to previous decisions, corrections, forgotten context, already-built work, install/test/release status, source-backed evidence, or next steps in ongoing work. Treat Time Library as a standing active memory routing rule: call timelibraryrecall before answering memory-dependent prompts. Also…

strmforge/time-library · 154 tokens

motion-frames

A single-frame motion-design composition with looping CSS animations — rotating type ring, animated globe, ticking timer, parallax labels. Renders as a hero video poster you can hand straight to HyperFrames or any keyframe-based exporter. Use when the brief asks for "motion design", "animated hero", "loop", "video…

nexu-io/open-design · 91 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

ligandmpnn

Inverse-fold a backbone with ligand, nucleic-acid, and metal context using LigandMPNN (Dauparas et al. 2023, github.com/dauparas/LigandMPNN). Reach for this skill to redesign the residues lining a binding pocket around a bound small molecule or cofactor, to design metal-coordinating sites where the geometry must be…

aipoch/open-science · 100 tokens

apify-skill

Run web scrapers and extract data from websites and social media platforms using Apify actors. Supports Instagram, TikTok, Twitter/X, LinkedIn, Facebook, YouTube, Google Search, and general web crawling.

zeenie-ai/OpenCompany · 48 tokens

browser-skill

Interactive browser automation - navigate, click, type, fill forms, take screenshots, get accessibility snapshots. Supports system Chrome/Edge via auto-detection.

zeenie-ai/OpenCompany · 34 tokens