What is domain-modeling?

A method for defining the important concepts and vocabulary of a software project, then recording major design choices. The shared glossary is kept in CONTEXT.md, and architectural decisions are recorded as ADRs, or short decision documents.

Use it to maintain project terminology, check names at database and API boundaries, and document changes to the system's design.

It prevents the backend, frontend, database, and interface from using different names for the same idea. It also preserves why important design decisions were made.

How DDS-Solutions/AI-TadPole-OS configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to DDS-Solutions/AI-TadPole-OS. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/DDS-Solutions/AI-TadPole-OS/main/.agent/skills/domain-modeling/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/domain-modeling/github.svg)](https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/domain-modeling)

Your own site

<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/domain-modeling"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/domain-modeling/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/domain-modeling"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 422 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.00422
Opus 5	$0.00016	$0.00211
Sonnet 5	$0.00006	$0.00084
Haiku 4.5	$0.00003	$0.00042

Measured 10d ago against content hash 876152f9f6db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

domain-modeling 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 10d 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.

.agent/skills/domain-modeling/SKILL.md · 42 lines

What it actually says

[!IMPORTANT] AI Context & Knowledge Heritage

Subsystem: Agent Skills Registry / domain-modeling

Architecture: @docs ARCHITECTURE:Documentation

Failure Path: Information drift, legacy terminology, or documentation mismatch.

Observability: Traceability via execution/parity_guard.py ([SKILL])

Domain Modeling & Glossary Alignment Protocol

Actively sharpen the project's domain model as code and architecture evolve. Ensure terms remain strictly consistent across Rust backend (server-rs) and React frontend stores (Zustand).

File Structure

CONTEXT.md (at workspace root): Ubiquitous domain glossary.
docs/adr/*.md: Architectural Decision Records (ADRs).

1. Glossary Upkeep Rules

Lazy Creation: If CONTEXT.md does not exist, create it lazily when the first domain concept is defined.
IPC & Schema Boundary Verification: When creating a database column, API payload, or UI component, verify its name against CONTEXT.md.
Term Resolution: If a term is refined or sharpened during design, update CONTEXT.md immediately in the same turn.

2. ADR Creation Rules

Record an ADR under docs/adr/ whenever:

A significant architectural choice is made (e.g. database choice, IPC protocol, state management pattern).
The user rejects a refactoring proposal for a load-bearing structural reason.

Format ADRs using standard Nygard template: Title, Status, Context, Decision, Consequences.

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.

10d ago First seen · 42 lines · 32 tokens per session scan A 876152f9f6db

Subscribe to this mod's changes

domain-modeling is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 422 once invoked, about $0.0002 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 2026-08-31.

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AI-TadPole-OS: Skill for Claude Code