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 tomzx/agents --skill review-domain-modelgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/review-domain-model)<a href="https://agentmods.dev/skills/tomzx/agents/review-domain-model"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-domain-model/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/tomzx/agents/review-domain-model"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-domain-model.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 | $0.00031 | $0.01109 |
| Opus 5 | $0.00015 | $0.00554 |
| Sonnet 5 | $0.00006 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
review-domain-model 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 6d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Domain Model
Audits a domain model and reports findings across six categories: entity coverage, relationship correctness, vocabulary consistency, invariant validity, boundary clarity, and context alignment.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the most recently created domain model under
.sdlc/features/. - The domain model document, or a domain model provided in context or as a file path
- Relevant requirements, specification, or architecture documents (optional, improves coverage and alignment analysis)
.sdlc/context/vocabulary.md(optional, improves vocabulary consistency analysis)
Steps
- Read the domain model from its artifact path if present, otherwise from context or as a file path.
- Cross-reference against available requirements, specification, or architecture documents to confirm entities and quantities cover the relevant domain.
- Identify issues in each of the six categories below.
- Report findings. Omit any category that has no findings.
- Write the findings beside the domain model with frontmatter
artifact: domain-model,verdict(approvedif there are no blocking findings,changes-requestedif the author must address findings,rejectedfor a fundamental flaw), andreviewed_at: <ISO date>, and the findings as the body, perskills/sdlc/references/shared.md. Record any unresolved open questions in the findings body.
Review Checklist
Entity Coverage
- Are all entities mentioned in the domain context represented?
- Are there nouns in the requirements or specification that are doing work but have no entity entry?
- Are entities distinct, or do two entries describe the same thing?
Relationship Correctness
- Does the
classDiagramagree with the Relationships table (same entities, same edges, cardinalities matching in both directions)? - Are cardinalities correct and consistent in both directions?
- Are relationships between entities that actually interact, or are any spurious?
- Are governing constraints on relationships stated?
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.
- 6d ago First seen · 121 lines · 31 tokens per session scan A b214ee12be52
review-domain-model is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,109 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 2026-09-03.
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