skill-agent-topology SKILL.md skillA

skill-agent-topology from nyldn/claude-octopus is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nyldn/claude-octopus/skill-agent-topology@git:20260813.14437ae

Pins git:20260813.14437ae in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nyldn/claude-octopus
Path
.claude/skills/skill-agent-topology/SKILL.md
Versions recorded
2
Latest version
git:20260813.14437ae, committed Aug 13, 2026
First version recorded
Aug 2, 2026
Size
8,018 bytes
Repository stars
4,265
License
MIT

Audit whether a multi-agent setup earns its coordination cost — use before adding an agent, or when a workflow feels slow or agents agree without adding signal.

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

# Agent Topology Audit

Most advice about multi-agent systems is about how to add agents. This is about
whether to. It audits a setup you already have, counts what each boundary
between agents costs, and compares that against what the boundary buys. Removing
an agent is a valid, and often the correct, result.

The framing comes from Liu, Canhui (2026), *The Organizational Behavior of
Agentic AI* ([arXiv:2606.30986](https://arxiv.org/abs/2606.30986)), which models
coordination overhead as **contextual transaction cost** — the cost of making
task context usable across an agent boundary.

## When To Use

- Before adding another agent, seat, or phase to a workflow that already works.
- When a workflow is slow and it is not obvious which part is earning its time.
- When agents keep agreeing. Agreement that costs three dispatches and produces
  what one would have produced is overhead wearing the costume of consensus.
- When a handoff keeps losing something and the fix keeps being "add more
  context to the prompt".
- After a workflow produced a bad result and you want to know whether the
  topology or the models were at fault.

## When Not To Use
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nyldn/claude-octopus/skill-agent-topology@sha256:079d650e11e521c8

The line at the top of this page pins the label git:20260813.14437ae, 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_vwr34av5lnaa43qt.svg)](https://markdownregistry.com/a/art_vwr34av5lnaa43qt)

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

Versions

The registry has recorded 2 versions of this file, between Aug 2, 2026 and Aug 13, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20260813.14437ae latest2026-08-13 14437ae 8,018 BA view · diff
git:20260802.c5b0c8e2026-08-02 c5b0c8e 7,987 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 (8018 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

nyldn/claude-octopus · 4,265 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vwr34av5lnaa43qt
GET https://markdownregistry.com/api/v1/resolve?ref=nyldn/claude-octopus/skill-agent-topology
GET https://markdownregistry.com/api/v1/blob/079d650e11e521c810e87ce25f9d0322b425534be2db9d77424758343fe3fe24

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 nyldn/claude-octopus

Other files named skill-agent-topology

skill-agent-topology SKILL.md skill
nyldn/claude-octopus · skills/skill-agent-topology/SKILL.md · Audit whether a multi-agent setup earns its coordination cost — use before adding an agent, or when a workflow feels…
git:20260813.14437ae · audit A · 4,265 stars

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