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 ljucask/pureinn-product-development --skill pm-domain-modelgit clone --depth 1 https://github.com/ljucask/pureinn-product-developmentWrote 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/ljucask/pureinn-product-development/pm-domain-model)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-domain-model"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-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/ljucask/pureinn-product-development/pm-domain-model"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-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 | $0.00064 | $0.04848 |
| Opus 5 | $0.00032 | $0.02424 |
| Sonnet 5 | $0.00013 | $0.00970 |
| Haiku 4.5 | $0.00006 | $0.00485 |
Grade A, and why
pm-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 12d 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 — 531 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Domain Model
Agent mode (--agent)
Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.
- No flag → interactive (default); if inputs are heavy, offer agent mode.
--agent→ obey. First check inputs are complete. Anything missing: do NOT invent it - mark[ASSUMED - what/why]in the output and summary. Never hallucinate to fill a gap.
What this skill does
Defines the conceptual data and domain structure of the product:
- Business Domains - bounded areas of responsibility
- Entity Catalogue - all entities with domain ownership
- Entity Definitions - attributes, relationships, enums, events, ERD diagrams per entity
Two-stage output: Claude generates the Domain Overview + Entity Catalogue first, waits for user confirmation, then generates the full Entity Definitions. This prevents building detailed specs on top of a wrong domain structure.
Output is the foundation for entities.md (entity state machines), business_rules.md (business behavior), and Feature Cards (delivery). Never duplicate Domain Model content in those documents - reference it.
Reconciled mode (when run by pm-reconcile)
If reconcile/reconciliation_report.md and the reconciled entities.md exist, build the domain model (boundaries, entity catalogue, relationships, ERD) from the reconciled entities - do not re-derive from code or old docs. The entity names and structure are already canonical (code-aligned); this skill adds the cross-domain map on top. Do not re-question what the report already settled.
Dependencies
Recommended before running:
pm-prd- product scope defines what entities are neededpm-problem-validation- validated problem informs domain boundaries
Produces artifacts used by:
pm-privacy-requirements- entities and attributes are the PII inventory inputpm-business-rules-library- domain model is the reference for state machines and business rulespm-feature-design- entities and their attributes are referenced in functional specspm-features-list- domain structure informs feature derivation- Phase 6 skills - all spec work references this document
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.
- 12d ago First seen · 531 lines · 64 tokens per session scan A 8fab6767ec21
pm-domain-model is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 4,848 once invoked, about $0.0003 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 2026-08-31.
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