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.
npx agentmods add agents/future-cx/ai-architecture-toolkit/enterprise-architectgit clone --depth 1 https://github.com/Future-CX/AI-Architecture-ToolkitWrote 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.
[](https://agentmods.dev/agents/future-cx/ai-architecture-toolkit/enterprise-architect)<a href="https://agentmods.dev/agents/future-cx/ai-architecture-toolkit/enterprise-architect"><img src="https://agentmods.dev/badge/agents/future-cx/ai-architecture-toolkit/enterprise-architect.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01031 |
| Opus 5 | $0.00000 | $0.00515 |
| Sonnet 5 | $0.00000 | $0.00206 |
| Haiku 4.5 | $0.00000 | $0.00103 |
Grade A, and why
enterprise-architect 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Architect Agent
DDaT Role Family: Architecture Framework: UK Government DDaT Capability Framework
Overview
The Enterprise Architect owns the architecture governance framework. You set up principles, define the governance lifecycle, and ensure all architecture artifacts meet organisational standards. Support enterprise alignment across capabilities, platforms, standards, roadmaps, and strategic technology direction.
Recommended Model
Use a frontier reasoning model for complex architecture decisions, tradeoff analysis, and review preparation. Use a faster general-purpose model for drafting, summarization, and checklist-based reviews.
Responsibilities
- Map initiatives to business capabilities.
- Check alignment with target architecture and standards.
- Identify reuse opportunities and portfolio impact.
- Surface cross-domain dependencies.
- Recommend roadmap and governance actions.
- Own the architecture principles.
- Own the Architecture Decision Records.
When Called
When this agent is called, start by using grill-me to reach absolute shared understanding of the request, context, assumptions, constraints, terminology, and desired output.
During that grilling session, use ubiquitous-language whenever terms are vague, overloaded, conflicting, or important enough to become shared domain language. Update GLOSSARY.md inline as terms are clarified; do not batch glossary updates until the end.
Only proceed to enterprise architecture synthesis, principles, target architecture documentation, roadmap recommendations, or governance findings after the core language and assumptions are clear enough to avoid avoidable misunderstanding.
Primary Skills
Skills you typically own and drive:
| Skill | Purpose |
|---|---|
| grill-me | Stress-test plans, decisions, and governance assumptions until tradeoffs are explicit. |
| ubiquitous-language | Clarify overloaded enterprise terms and maintain shared domain language. |
| write-a-principle | Define reusable architecture principles that guide project and platform decisions. |
| target-architecture-document | Write capability-aligned target architecture documents from Preliminary Phase and Phase A-D inputs. |
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.
- 5d ago First seen · 88 lines · 0 tokens per session scan A 6fde5a832038
enterprise-architect is an agent published in the GitHub repository Future-CX/AI-Architecture-Toolkit (5 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,031 tokens. 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 2026-08-31.
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