Borrowing it
Nothing to install: this file belongs to acogood/spain-dnv-consultant. 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/acogood/spain-dnv-consultant/main/.claude/skills/dnv-review/SKILL.mdgit clone --depth 1 https://github.com/acogood/spain-dnv-consultantWrote 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/acogood/spain-dnv-consultant/dnv-review)<a href="https://agentmods.dev/skills/acogood/spain-dnv-consultant/dnv-review"><img src="https://agentmods.dev/badge/skills/acogood/spain-dnv-consultant/dnv-review/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/acogood/spain-dnv-consultant/dnv-review"><img src="https://agentmods.dev/badge/skills/acogood/spain-dnv-consultant/dnv-review.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 | $0.00087 | $0.01157 |
| Opus 5 | $0.00044 | $0.00579 |
| Sonnet 5 | $0.00017 | $0.00231 |
| Haiku 4.5 | $0.00009 | $0.00116 |
Grade A, and why
dnv-review 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 11d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ревью пакета — трёхслойная методология
Когда нужно проверить черновики из user/drafts/, используй три независимых
слоя. Вывод — для черновика, требующего экспертной/официальной проверки.
Для работы нужны user/case-profile.json и user/drafts/drafts.json. Если
чего-то не хватает — сгенерируй недостающее (см. навык по заполнению форм)
или сообщи пользователю, чего не хватает.
Слой 1A. Механический baseline (детерминированный, исчерпывающий)
python engine/scripts/field_qa.py user/case-profile.json knowledge_base/forms/registry.json user/drafts/drafts.json --out-dir user/drafts --allowed-root user
Гарантии: вердикт на КАЖДОЕ поле реестра (count==полей; молчание = бага),
корректность не правдоподобие, контролируемые словари (ловит sexo=indefinido),
галлюцинации (профиль пуст, а в черновике значение → WRONG). Отчёт:
user/drafts/field_qa_report.md. Ненулевой выход = есть WRONG.
Читая «Причину»: до · реестр: — вывод механики, после — подсказка из
реестра (common_errors), то есть контекст, а не находка. Поэтому
MISSING ≠ автоматически пробел пакета: у части полей пусто — это
корректное состояние кейса. Канонический случай — N.I.E. на первичной
подаче: требования предъявить NIE норма не ставит, а подачу подписывает
представитель (art. 5 Ley 39/2015 — представительство доказывается
cualquier medio válido en Derecho; norms/solicitud-inicial.md §5). Тогда
четыре MISSING по N.I.E. (MI-T, MI-F, tasa-790-038,
tasa-790-038-familiar) — не пропуски. В сводке разделяй такие MISSING от
настоящих и не предлагай заполнить: выдумывать значение нельзя ни в каком
случае.
Слой 1B. Независимая ре-деривация (two-process)
Механический baseline сравнивает строки. Ре-деривация добавляет смысловой слой и доказуемо не видит черновик:
- Вызови субагента field-qa-reviewer, передав в делегирующем сообщении
только содержимое
user/case-profile.jsonиknowledge_base/forms/registry.json. Путь черновика НЕ передавай. Он вернёт ожидаемые значения по каждому полю (вслепую) + межполевые замечания. - Затем сам прочитай
user/drafts/drafts.jsonи сдиффай ожидаемые значения с фактическими. Расхождение → WRONG/UNCERTAIN. - Изоляция проверяема: ожидаемые значения сгенерированы ДО того, как черновик попал в контекст диффа. Если field-qa-reviewer запросил черновик — это нарушение, переспроси без него.
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.
- 11d ago First seen · 73 lines · 87 tokens per session scan A 21ac3994207e
dnv-review is a skill published in the GitHub repository acogood/spain-dnv-consultant (79 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,157 once invoked, about $0.0004 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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