Agent Topology Audit

Agent Topology Audit is an AI Engineering skill for Claude Code, published by nyldn in claude-octopus.

4K stars374 forkson nyldn/claude-octopusAdded 2026/08/16Repository updated 2026/08/16

ai-agentsai-orchestrationclaude-codeclaude-code-plugincodexcopilotdeveloper-toolsdouble-diamondgeminimulti-aimulti-llmollama

Install in seconds

Install Agent Topology Audit

Copy Agent Topology Audit into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nyldn/claude-octopus/tree/main/skills/skill-agent-topology ~/.claude/skills/skill-agent-topology

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nyldn/claude-octopus.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/skill-agent-topology/SKILL.md in nyldn/claude-octopus
Installs to: ~/.claude/skills/skill-agent-topology
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agent Topology Audit does

Agent Topology Audit evaluates whether a multi-agent setup earns its coordination cost. Use it before adding an agent or when a workflow feels slow or agents agree without adding signal.

Agent Topology Audit is cataloged under AI Engineering on DirSkills. Agent Topology Audit comes from a repository tagged ai-agents, ai-orchestration, claude-code, claude-code-plugin and codex.

Documentation

README

Excerpt

Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than /octo:* slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, see skills/blocks/codex-host-adapter.md.

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Topology Audit

What else does nyldn publish alongside Agent Topology Audit?
Agent Topology Audit is one of 25 skills that DirSkills catalogs from nyldn/claude-octopus, the repository it ships in. Its siblings there include AI Debate Hub, Code Review and Content Pipeline. Each one is a separate skill with its own page in this directory, installs the same way Agent Topology Audit does, and is maintained by nyldn in that same repository. The rest of the collection is listed on the nyldn/claude-octopus page.
How does Agent Topology Audit compare to other AI Engineering skills?
Agent Topology Audit ranks #533 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Topology Audit against them. Open each page to compare what they document and how they install.