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 skills/romiluz13/cc10x/domain-modelingnpx skills add romiluz13/cc10x --skill domain-modelinggit clone --depth 1 https://github.com/romiluz13/cc10xWrote 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/romiluz13/cc10x/domain-modeling)<a href="https://agentmods.dev/skills/romiluz13/cc10x/domain-modeling"><img src="https://agentmods.dev/badge/skills/romiluz13/cc10x/domain-modeling.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 | $0.00108 | $0.01717 |
| Opus 5 | $0.00054 | $0.00859 |
| Sonnet 5 | $0.00022 | $0.00343 |
| Haiku 4.5 | $0.00011 | $0.00172 |
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 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the active discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely reading CONTEXT.md for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
Active vs read-only
This skill loads in two modes depending on which agent invoked it:
- ACTIVE (planner, doc-syncer, exploration in DESIGN mode): you shape the domain model. You challenge terms, sharpen language, write
CONTEXT.mdinline, and offer ADRs. You are a designated CONTEXT.md writer. - READ-ONLY / OBEY (component-builder, bug-investigator): you read
CONTEXT.mdand use the project's domain vocabulary in all output. You do NOT write or editCONTEXT.md. If you discover a contradiction between the glossary and the code, emit a proposal in your Memory Notes (**Domain proposal:** term X is defined as Y in CONTEXT.md but the code does Z — which is right?) or block (STATUS: FAIL,REMEDIATION_REASON: "Domain glossary contradicts code at term X") — do NOT resolve the contradiction yourself. Resolving domain language is the job of shaping phases, not build phases.
The agent's persona prompt determines which mode is in effect. If unsure, default to READ-ONLY — the cost of an opportunistic glossary rewrite during a build is higher than the cost of a deferred proposal.
Autonomous transform (how human-gates route here)
Matt's original skill is human-gated ("ask the user", "challenge the user"). In cc10x's autonomous workflow, every gate routes through evidence + blast radius, not reversibility alone:
What ships with it
2 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.
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 · 120 lines · 108 tokens per session scan A 051a02008fef
domain-modeling is a skill published in the GitHub repository romiluz13/cc10x (164 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,717 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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