Borrowing it
Nothing to install: this file belongs to stainless-code/codemap. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/stainless-code/codemap/main/.agents/skills/domain-modeling/SKILL.mdgit clone --depth 1 https://github.com/stainless-code/codemapWrote 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/stainless-code/codemap/domain-modeling)<a href="https://agentmods.dev/skills/stainless-code/codemap/domain-modeling"><img src="https://agentmods.dev/badge/skills/stainless-code/codemap/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/stainless-code/codemap/domain-modeling"><img src="https://agentmods.dev/badge/skills/stainless-code/codemap/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.00848 |
| Opus 5.5 | $0.00020 | $0.00339 |
| Sonnet 5.5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
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 — 68 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. Reading docs/glossary.md for vocabulary is a one-line habit any skill can do — this skill is for when you're changing the model, not just consuming it.
Codemap deltas for this repo:
- No repo-root
docs/adr/— current decisions live indocs/architecture.md; closed history indocs/audits/<topic>.md; in-flight indocs/plans/<name>.md. Seedocs-governance. - Single canonical glossary —
docs/glossary.mdat the repo root (Tier B: one repo-wide surface, no per-feature subtrees). Seegrill-with-docs/ARTIFACTS.md.
File structure
/
├── docs/
│ ├── glossary.md ← canonical ubiquitous language (single)
│ ├── architecture.md ← current structural decisions
│ ├── audits/<topic>.md ← closed decisions
│ └── plans/<name>.md ← in-flight decisions
Create files lazily — only when you have something to write.
During the session (inline)
Challenge against the glossary
When the user uses a term that conflicts with docs/glossary.md, call it out immediately.
Sharpen fuzzy language
When the user uses vague or overloaded terms (e.g. "query" for both a cataloged recipe and ad-hoc SQL, or "file" for both a FileRow TS shape and the files SQLite table), propose a precise canonical term.
Discuss concrete scenarios
Stress-test domain relationships with specific edge-case scenarios (homonym symbols across files, recipe vs ad-hoc query drift, hub vs barrel ranking, fan-in vs fan-out impact direction).
Cross-reference with code
When the user states how something works, check whether the code agrees (src/db.ts, src/parser.ts, recipe loader, adapter layer). Surface contradictions — use codemap query for structural facts before Read/Grep.
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 First seen · 68 lines · 49 tokens per session scan A e05f2fb983ba
domain-modeling is a skill published in the GitHub repository stainless-code/codemap (8 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 848 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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