enterprise-agent-design-authority

enterprise-agent-design-authority is a skill for Claude Code, Codex from microsoft/cat-agent-skills. It costs 56 tokens per session (862 once invoked), scanned A, original, MIT.

An architecture review process for Microsoft Copilot Studio agents, multi-agent systems, and enterprise AI solutions.

In plain words
What is it for?
Use it to assess a proposed Copilot solution against Microsoft architecture guidance and responsible AI principles, then report whether it is ready to build.
Why use it?
It identifies business, security, governance, scaling, maintenance, and implementation risks before development begins.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess a proposed Copilot solution against Microsoft architecture guidance and responsible AI principles, then report whether it is ready to build.

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Install with agentmods
npx agentmods add skills/microsoft/cat-agent-skills/enterprise-agent-design-authority
About the project

microsoft/cat-agent-skills is a static website that catalogs reusable instruction sets and related packages for AI agents. People use it to search, filter, rate, and download skills for Cowork, Copilot Studio, and Scout, along with Copilot plugins and Scout automations. The catalogue entries are the skills, instructions, plugins, and settings displayed by the site.

microsoft/cat-agent-skills · 66 stars · on GitHub

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 microsoft/cat-agent-skills --skill enterprise-agent-design-authority
Clone the repo
git clone --depth 1 https://github.com/microsoft/cat-agent-skills

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 enterprise-agent-design-authority

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority/github.svg)](https://agentmods.dev/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority)
Your own site
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority/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 enterprise-agent-design-authority

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority"><img src="https://agentmods.dev/badge/skills/microsoft/cat-agent-skills/enterprise-agent-design-authority.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 862 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 $0.00056 $0.00862
Opus 5 $0.00028 $0.00431
Sonnet 5 $0.00011 $0.00172
Haiku 4.5 $0.00006 $0.00086

Measured 11d ago against content hash b1ed13baa519, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

enterprise-agent-design-authority 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 11d 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.

submissions/enterprise-agent-design-authority/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enterprise Agent Design Authority (EADA)

Your objective is to determine whether the proposed solution is architecturally sound, enterprise-ready, secure, governable, scalable, maintainable, and aligned with Microsoft Copilot Studio best practices.

Do not redesign or implement the solution unless explicitly requested. Focus on architecture analysis, evidence-based recommendations, and build readiness.

Instructions

  1. Understand the business context by identifying:
    • Business objectives
    • Stakeholders
    • User personas
    • Success criteria
    • Functional requirements
    • Non-functional requirements
    • Assumptions
    • Constraints
  2. Execute the EADA lifecycle in the following order:
    1. Discover
    2. Understand
    3. Architect
    4. Validate
    5. Challenge
    6. Optimize
    7. Decide
    8. Report
  3. Assess the solution using recognized enterprise architecture frameworks:
    • Microsoft Well-Architected Framework
    • Microsoft Cloud Adoption Framework
    • Microsoft Power Platform Well-Architected Guidance
    • Microsoft Copilot Studio Best Practices
    • Microsoft Responsible AI Principles
    • TOGAF Architecture Principles
  4. Evaluate every architecture pillar:
    • Business Architecture
    • Experience Architecture
    • Agent Architecture
    • Knowledge Architecture
    • Integration Architecture
    • AI Architecture
    • Platform Architecture
    • Security & Governance
    • Operations & Observability
    • Future Readiness
  5. Validate architecture principles including:
    • Business First
    • Architecture Before Implementation
    • Shift-Left Engineering
    • Security by Design
    • Privacy by Design
    • Responsible AI
    • Least Privilege
    • Loose Coupling
    • High Cohesion
    • Reuse Before Build
    • Configuration over Customization
    • Observability by Default
    • Governance by Default
  6. Identify applicable architecture patterns and anti-patterns. When an anti-pattern is detected, explain:
    • Why it is problematic
    • Business impact
    • Technical impact
    • Recommended remediation
  7. Assess risks and classify each finding as:
    • Critical
    • High
    • Medium
    • Low
  8. Score the solution by evaluating:
    • Business Alignment
    • Experience Design
    • Architecture
    • Knowledge Strategy
    • AI Design
    • Integration
    • Security
    • Governance
    • Operations
    • Scalability
    • Maintainability
    • Responsible AI
  9. Assign an overall maturity level:
    • Initial
    • Emerging
    • Developing
    • Managed
    • Enterprise Ready
    • Production Ready
  10. Produce a structured assessment report containing:
    • Executive Summary
    • Architecture Scorecard
    • Findings by Assessment Pillar
    • Detected Architecture Patterns
    • Detected Anti-Patterns
    • Risk Assessment
    • Architecture Decision Record (ADR) recommendations where applicable
    • Prioritized Recommendations
    • Enterprise Readiness Score
    • Build Readiness Decision
    • Recommended Next Steps
  11. Conclude with exactly one decision:
    • ✅ Ready for Build
    • 🟡 Ready with Recommended Changes
    • 🔴 Not Ready

Read the full file on GitHub · 126 lines

Files

What ships with it

2 files 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. 11d ago First seen · 126 lines · 56 tokens per session scan A b1ed13baa519

Subscribe to this mod's changes

enterprise-agent-design-authority is a skill published in the GitHub repository microsoft/cat-agent-skills (66 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 862 once invoked, about $0.0003 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.

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