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 skills add magnus919/agent-skills --skill enterprise-architecturegit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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/skills/magnus919/agent-skills/enterprise-architecture)<a href="https://agentmods.dev/skills/magnus919/agent-skills/enterprise-architecture"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/enterprise-architecture/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.
<a href="https://agentmods.dev/skills/magnus919/agent-skills/enterprise-architecture"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/enterprise-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00097 | $0.01236 |
| Opus 5 | $0.00048 | $0.00618 |
| Sonnet 5 | $0.00019 | $0.00247 |
| Haiku 4.5 | $0.00010 | $0.00124 |
Grade A, and why
enterprise-architecture 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Architecture
Use this skill to make enterprise-wide structure and change legible without turning architecture into a shelf of diagrams. Connect outcomes to capabilities, value streams, applications, information, technology, ownership, and a feasible sequence of change.
Workflow
- Frame the enterprise question. State the outcome, scope, time horizon, stakeholders, constraints, authority, and evidence gaps. Separate strategy, product commitments, operational facts, and architectural hypotheses.
- Map the landscape. Identify capabilities and value streams, then relate
applications, information objects, technology dependencies, owners, costs,
risks, duplication, and lifecycle status. Use
references/capability-value-stream-and-portfolio-mapping.md. - Describe states. Record the current state from evidence, define a target
state from explicit principles and outcomes, and identify constraints that make
a direct jump unsafe or unrealistic. Use
references/current-target-and-transition-architecture.md. - Choose the operating model. Compare centralized, federated, and hybrid
arrangements against decision locality, coordination cost, required coherence,
skills, and risk. Do not prescribe reporting lines or compensation. Use
references/enterprise-operating-model-and-roles.md. - Make authority executable. Assign decision rights, consultation, standards,
exceptions, escalation, and feedback to named roles. Use
references/federated-governance-and-decision-rights.md. - Engage and publish for use. Adapt views to stakeholder jobs, make uncertainty
and provenance visible, and maintain accessible, findable information with a
review owner. Use
references/stakeholder-engagement-and-architecture-information.md. - Sequence change. Connect transition increments to capabilities, outcomes,
dependencies, investment assumptions, and exit evidence. Use
templates/transition-architecture-roadmap.md; hand approved delivery plans toimplementation-planningormigration-engineeringas appropriate.
What ships with it
11 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.
- evals/evals.json 7.1 KB
- README.md 2.2 KB
- references/capability-value-stream-and-portfolio-mapping.md 2.4 KB
- references/current-target-and-transition-architecture.md 2.1 KB
- references/enterprise-operating-model-and-roles.md 2.0 KB
- references/federated-governance-and-decision-rights.md 1.8 KB
- references/source-index.md 2.0 KB
- references/stakeholder-engagement-and-architecture-information.md 1.8 KB
- templates/capability-portfolio-view.md 727 B
- templates/enterprise-context-brief.md 734 B
- templates/transition-architecture-roadmap.md 922 B
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 Changed · +3 lines 9b2bfa76aa87
- 11d ago First seen · 109 lines · 97 tokens per session scan A ccc118b2f63c
enterprise-architecture is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 1,236 once invoked, about $0.0005 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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