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/assisjp/specflow/domain-modelingnpx skills add assisjp/specflow --skill domain-modelinggit clone --depth 1 https://github.com/assisjp/specflowWhat 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 | $0.00772 |
| Opus 5 | $0.00054 | $0.00386 |
| Sonnet 5 | $0.00022 | $0.00154 |
| Haiku 4.5 | $0.00011 | $0.00077 |
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 2d 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 — 72 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. Use it when you are changing the model, not just consuming it.
File structure
Most repos have a single context:
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
If a CONTEXT-MAP.md exists at the root, the repo has multiple bounded contexts, and the map points to where each one lives:
/
├── CONTEXT-MAP.md
├── docs/adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── CONTEXT.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── CONTEXT.md
│ └── docs/adr/
Create files lazily — only when you have something to write. No CONTEXT.md yet? Create it when the first term resolves. No docs/adr/? Create it when the first ADR is warranted.
During the session
Challenge against the glossary
When the user uses a term that conflicts with the language already in CONTEXT.md, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"
Sharpen fuzzy language
When the user uses a vague or overloaded term, propose a precise canonical one. "You said 'account' — do you mean the Customer or the User? Those are different things."
Stress-test with concrete scenarios
When domain relationships are on the table, invent specific scenarios that probe the edges and force precision about where one concept ends and the next begins.
Cross-reference with the code
When the user states how something works, check whether the code agrees. On a contradiction, surface it: "Your code cancels whole Orders, but you just said partial cancellation is possible — which is right?"
Update CONTEXT.md inline
What ships with it
3 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.
- 2d ago First seen · 72 lines · 108 tokens per session scan A 65489d34779f
domain-modeling is a skill published in the GitHub repository assisjp/specflow (17 stars, last pushed 23d ago), licensed MIT. It adds 108 tokens to every session and 772 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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