team-topology SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

team-topology from cotal-ai/cotal is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cotal-ai/cotal/team-topology@git:20261004.8a9d279

Pins git:20261004.8a9d279 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cotal-ai/cotal
Path
claude-plugin/cotal-skills/skills/team-topology/SKILL.md
Versions recorded
1
Latest version
git:20261004.8a9d279, committed Oct 4, 2026
Size
11,416 bytes
Repository stars
380
License
Apache-2.0

Define a multi-agent team for ANY task on ANY system as an explicit deployment topology - pick the shape from the task's dominant risk, specify the runtime/communication/trust layers, place model capability by lane, present it as a diagram + table + trust-boundary note + open choices, and deploy ONLY after the user agrees to the proposed shape. Use when the user asks to "define/design/lay out the team", "what topology are we deploying", "how should the agents be arranged…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Team topology

A method for defining a multi-agent team for a task as an explicit topology: not "spawn some agents" but a legible deployment you can draw, hand off, and reason about. Who runs where, who talks to whom, what each node can touch, which model sits in which seat. Substrate-agnostic: the same method applies to a Cotal mesh, harness subagents, workflow stages, or plain processes.

## When to use

- The user asks to **define / design / lay out** a team or formation, or asks **"what topology?"**.
- You are about to stand up more than one or two agents and want them arranged deliberately.
- You need to communicate a running deployment in a scannable form.

## Step 1: pick the shape from the dominant risk

A topology is a defense against the way the task fails by default. Name the task's **dominant risk**, then pick the shape that structurally prevents it:

| Task type | Dominant risk | Shape |
|---|---|---|
| audit / review / research | missed findings, groupthink | **hub-and-spoke fan-out**: independent finder lanes, an adversarial verify tier, coordinator synthesizes |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cotal-ai/cotal/team-topology@sha256:43125706c1adacf1

The line at the top of this page pins the label git:20261004.8a9d279, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bpwgtlvb2eeia3dt.svg)](https://markdownregistry.com/a/art_bpwgtlvb2eeia3dt)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.8a9d279 latest2026-10-04 8a9d279 11,416 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11416 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

cotal-ai/cotal · 380 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bpwgtlvb2eeia3dt
GET https://markdownregistry.com/api/v1/resolve?ref=cotal-ai/cotal/team-topology
GET https://markdownregistry.com/api/v1/blob/43125706c1adacf14eeabec086d18cc2519c4c2817849b838c2e2240a9f42ce7

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in cotal-ai/cotal

Other files named team-topology

team-topology SKILL.md skill
cotal-ai/cotal · implementations/cli/cotal-skills/skills/team-topology/SKILL.md · Define a multi-agent team for ANY task on ANY system as an explicit deployment topology - pick the shape from the…
git:20260813.2ba90d1 · audit A · 380 stars

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