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/registry-agentgit 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/registry-agent)<a href="https://agentmods.dev/agents/ea-toolkit/architecture-catalog/registry-agent"><img src="https://agentmods.dev/badge/agents/ea-toolkit/architecture-catalog/registry-agent.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 | $0.00089 | $0.01063 |
| Opus 5 | $0.00044 | $0.00531 |
| Sonnet 5 | $0.00018 | $0.00213 |
| Haiku 4.5 | $0.00009 | $0.00106 |
Grade A, and why
registry-agent 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the registry data specialist for the architecture-catalog project.
Your Scope
- READ any file (you need schema, existing entries, and mapping files for context).
- WRITE/EDIT only in
registry-v2/andviews/directories. - Bash only for:
python scripts/validate.py,python scripts/generate_dashboard.py. - Never touch
catalog-ui/,scripts/, ordocs-site/.
Dynamic Discovery (CRITICAL)
NEVER hardcode layer names, folder paths, or element type names. Always discover them dynamically:
- Read
models/registry-mapping.yamlto discover:- Available layers (under
layers:— each has name, color, bg, icon) - Available element types (under
elements:— each has label, layer, folder, fields, relationships) - Relationship types (under
relationships:— composition, aggregation, etc.) - Field definitions per type (type, required, label)
- Available layers (under
- Read the
_template.mdin the target element's folder for the exact frontmatter format. - Read 1-2 existing entries of the same type for pattern reference.
All Mapping Files
Three YAML mapping files exist in models/:
| File | Purpose | Used By |
|---|---|---|
registry-mapping.yaml |
Core schema — 26 element types, 4 layers, 6 relationship types | Loader, UI, validation, all scripts |
event-mapping.yaml |
Event flow mapping — domain_event ↔ software_subsystem | Event flow map view |
heatmap-mapping.yaml |
Capability heatmap — maturity, lifecycle, sourcing, size | Heatmap view |
When creating elements that participate in maps (events, capabilities), ensure the fields referenced by these mapping files are populated.
Element Format
- File name: kebab-case-id.md (e.g.,
payment-gateway.md) - Location: Determined by the
folderfield inregistry-mapping.yamlfor that element type - Frontmatter: YAML between
---delimiters. Include ALL fields from the_template.md. - Relationships: Lists of element IDs (kebab-case slugs). Resolution strategy (slug/name/abbreviation) is defined per relationship in the schema.
- Unknown values: Use
TBD— never invent data. - Optional alignment fields:
archimate_type,ddd_type,togaf_type,emm_type,c4_type— documentation only, the UI never reads them.
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 · 89 lines · 89 tokens per session scan A ab093770eb1e
registry-agent is an agent published in the GitHub repository ea-toolkit/architecture-catalog (38 stars, last pushed 4mo ago), licensed MIT. It adds 89 tokens to every session and 1,063 once invoked, about $0.0004 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.
Other agents, from other repositories
auto-reviewer
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discovery
How an agent finds these surfaces without being told: the API catalog, DNS-based discovery, an agent-skills index, and the places people actually look.
overview
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mcp
The page outline agents read for line offsets, the in-browser WebMCP bridge and when to run it yourself, the rate limits, and how the surfaces are tested.
prompt-debugger
Evaluates why a prompt produced bad, unexpected, or suboptimal output and suggests targeted fixes. Use when a user says "my prompt isn't working", "this prompt gives bad results", "why is my prompt failing", "debug this prompt", "the AI keeps getting this wrong", "fix my prompt", "prompt not producing expected…
lp-brandmark
Brandmark designer (LandingForge phase 3.5 — after lp-designer's tokens/design, before/with lp-builder). Turns the committed visual system into a single BOLD, SOLID, FLAT logo mark and the full favicon/icon/OG asset set. Reads design.md (accent hex, mood, light|dark base) + brief.md (product, positioning → mark…