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 keodubo/PAW-Wiki --skill paw-models-layergit clone --depth 1 https://github.com/keodubo/PAW-WikiWrote 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/keodubo/paw-wiki/paw-models-layer)<a href="https://agentmods.dev/skills/keodubo/paw-wiki/paw-models-layer"><img src="https://agentmods.dev/badge/skills/keodubo/paw-wiki/paw-models-layer/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/keodubo/paw-wiki/paw-models-layer"><img src="https://agentmods.dev/badge/skills/keodubo/paw-wiki/paw-models-layer.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 | $0.00048 | $0.00432 |
| Opus 5 | $0.00024 | $0.00216 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
paw-models-layer 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 10d 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.
What it actually says
Paw Models Layer
Overview
Use this for models/, the infrastructure-free domain module shared by web, services, and persistence.
Read references/layer-rules.md before editing models.
Workflow
- Inspect the existing model style in
models/src/main/java/ar/edu/itba/paw/models. - Resolve stage from
$paw-feature-master: TP1 keeps infrastructure-free POJOs; TP2 may allow JPA annotations only as part of a planned migration; TP final may add API-facing DTO pressure but should not turn models into transport objects. - Decide whether the concept is a domain entity, enum, value object, filter object, sort enum, or pagination type.
- Keep the type free of Spring, JDBC, servlet, JSP, validation annotations tied to web forms, and implementation package dependencies.
- Preserve nullability deliberately: use boxed values only when the database/domain allows absence.
- Use Java time types (
LocalDate,LocalTime,LocalDateTime) instead ofjava.sql.*. - Re-run compile/tests for the smallest module set that imports the changed model.
Design Rules
- Put finite states in enums, not magic strings.
- Keep entities in singular names.
- Do not expose persistence implementation decisions through model APIs.
- Prefer explicit constructors/getters/setters matching the repo style.
- If overriding
equals, also overridehashCode. - Avoid
Optionalas a field; use it only as a return type when the surrounding API already does.
Verification
- Models-only change:
mvn -pl models test. - Shared model used by contracts or persistence:
mvn -pl persistence -am test. - Cross-layer model change:
mvn -pl webapp -am testormvn clean testwhen behavior spans modules.
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.
- 10d ago First seen · 38 lines · 48 tokens per session scan A cf847c798fc4
paw-models-layer is a skill published in the GitHub repository keodubo/PAW-Wiki (10 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 432 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 2026-08-31.
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