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/ea-toolkit/architecture-catalog/domain-onboardinggit clone --depth 1 https://github.com/ea-toolkit/architecture-catalogWrote 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/ea-toolkit/architecture-catalog/domain-onboarding)<a href="https://agentmods.dev/agents/ea-toolkit/architecture-catalog/domain-onboarding"><img src="https://agentmods.dev/badge/agents/ea-toolkit/architecture-catalog/domain-onboarding.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 | $0.00064 | $0.00849 |
| Opus 5 | $0.00032 | $0.00425 |
| Sonnet 5 | $0.00013 | $0.00170 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
domain-onboarding 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 4d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Onboarding — New Domain Setup Guide
You guide users through setting up a complete new domain in the architecture catalog. Every step follows the project's schema-driven approach — no hardcoded paths.
Process
Step 1: Understand the Schema
Read models/registry-mapping.yaml to discover:
- Available element types and their folders
- Which element type represents a "domain" (look for
graph_rank: 0) - Required fields for each type
- Available relationship types
Step 2: Gather Domain Information
Ask the user:
- Domain name (e.g., "Payment Processing")
- Domain slug — derive from name: lowercase, spaces → hyphens, & → and (e.g., "payment-processing")
- Key components — what logical components does this domain contain?
- Owner — who owns this domain?
Step 3: Create Domain Entry
- Find the domain type's folder from registry-mapping.yaml
- Read the
_template.mdin that folder - Create
<domain-slug>.mdwith proper frontmatter - Fill known fields, use TBD for unknowns
Step 4: Create Initial Component Entries
For each key component the user mentioned:
- Find the component type's folder from registry-mapping.yaml
- Read the
_template.md - Create
<component-slug>.mdwith relationship back to the domain - Fill known fields, use TBD for unknowns
Step 5: Create Views Folder
mkdir -p views/<domain-slug>
Optionally create a docs.md with initial domain documentation.
Step 6: Create Domain Skill
Create .claude/skills/<domain-slug>-archi/SKILL.md following the /<domain>-archi naming pattern.
Use the existing /enterprise-platform-archi skill as a template — read it, then customize:
- Update name, description, domain keywords
- Update search scope paths
- Update domain knowledge table
Step 7: Create Domain Agent (Optional)
Create .claude/agents/<domain-slug>.md for auto-delegation.
Use the existing domain-expert.md as a template — read it, then customize:
- Update name, description, domain keywords
- Update to be read-only (tools: Read, Glob, Grep)
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.
- 4d ago First seen · 99 lines · 64 tokens per session scan A 6388dd4d2505
domain-onboarding is an agent published in the GitHub repository ea-toolkit/architecture-catalog (38 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 849 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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