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 jasonm4130/claude-skills --skill domain-modelinggit clone --depth 1 https://github.com/jasonm4130/claude-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/jasonm4130/claude-skills/domain-modeling)<a href="https://agentmods.dev/skills/jasonm4130/claude-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/jasonm4130/claude-skills/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.
<a href="https://agentmods.dev/skills/jasonm4130/claude-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/jasonm4130/claude-skills/domain-modeling.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00059 | $0.01179 |
| Opus 5.5 | $0.00024 | $0.00472 |
| Sonnet 5.5 | $0.00012 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
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 1mo 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 — 65 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 — the active discipline of challenging terms, inventing edge-case scenarios, and writing the glossary down the moment it crystallises. 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.
Why it pays off: an opinionated CONTEXT.md is a persistent, shared language. Once the domain has canonical names, variables/functions/files get named consistently, the codebase is easier for an agent to navigate, and the agent spends fewer tokens on thinking because it has a more concise language. The cost is one glossary entry; the payoff compounds every session.
Adapted from mattpocock/skills (MIT) — the domain-modeling skill, with its ADR format left out.
File structure
Most repos have a single context — one CONTEXT.md at the repo root:
/
├── CONTEXT.md ← the glossary
└── src/
If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts; the map points to where each CONTEXT.md lives (e.g. src/ordering/CONTEXT.md, src/billing/CONTEXT.md) and how they relate. See CONTEXT-FORMAT.md for both shapes.
Create files lazily — only when you have something to write. If no CONTEXT.md exists, create one when the first term is resolved.
Wire it in for future sessions. The payoff — consistent naming and fewer tokens every session — only lands if CONTEXT.md is loaded when future sessions start, not just when this skill fires. When you create CONTEXT.md (or update one and notice it is unreferenced), check the repo's CLAUDE.md: if it does not reference CONTEXT.md, ask the user once whether to wire it in — @CONTEXT.md for a small glossary, or a "consult CONTEXT.md for domain terms" line for a larger one — and add it on yes (don't re-ask on no). If there is no CLAUDE.md at all, mention the option rather than creating one uninvited.
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.
- 1mo ago Changed · -4 tokens per session 557fd5b0b4c3
- 2mo ago First seen · 65 lines · 63 tokens per session scan A 8656d109a8e4
domain-modeling is a skill published in the GitHub repository jasonm4130/claude-skills (5 stars, last pushed 14d ago), licensed MIT. It adds 59 tokens to every session and 1,179 once invoked, about $0.0002 per session on Opus 5.5. 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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