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 timoshinoleg-eng/1c-ai-workbench --skill erf-validategit clone --depth 1 https://github.com/timoshinoleg-eng/1c-ai-workbenchWrote 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/timoshinoleg-eng/1c-ai-workbench/erf-validate)<a href="https://agentmods.dev/skills/timoshinoleg-eng/1c-ai-workbench/erf-validate"><img src="https://agentmods.dev/badge/skills/timoshinoleg-eng/1c-ai-workbench/erf-validate/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/timoshinoleg-eng/1c-ai-workbench/erf-validate"><img src="https://agentmods.dev/badge/skills/timoshinoleg-eng/1c-ai-workbench/erf-validate.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 | $0.00037 | $0.00419 |
| Opus 5 | $0.00018 | $0.00210 |
| Sonnet 5 | $0.00007 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
erf-validate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to erf-validate — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
/erf-validate — валидация внешнего отчёта (ERF)
Проверяет структурную корректность XML-исходников внешнего отчёта: корневую структуру, InternalInfo, свойства (включая MainDataCompositionSchema), ChildObjects, реквизиты, табличные части, уникальность имён, наличие файлов форм и макетов.
Использует тот же скрипт, что и /epf-validate — автоопределение по типу элемента (ExternalReport).
Параметры
| Параметр | Обяз. | Умолч. | Описание |
|---|---|---|---|
| ObjectPath | да | — | Путь к корневому XML или каталогу отчёта |
| Detailed | нет | — | Подробный вывод (все проверки, включая успешные) |
| MaxErrors | нет | 30 | Остановиться после N ошибок |
| OutFile | нет | — | Записать результат в файл (UTF-8 BOM) |
Команда
powershell.exe -NoProfile -File "${CLAUDE_SKILL_DIR}/../epf-validate/scripts/epf-validate.ps1" -ObjectPath "src/МойОтчёт"
powershell.exe -NoProfile -File "${CLAUDE_SKILL_DIR}/../epf-validate/scripts/epf-validate.ps1" -ObjectPath "src/МойОтчёт/МойОтчёт.xml"
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 · 33 lines · 37 tokens per session scan A c81d1e9faa9a
erf-validate is a skill published in the GitHub repository timoshinoleg-eng/1c-ai-workbench (0 stars, last pushed 23d ago), licensed MIT. It adds 37 tokens to every session and 419 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to erf-validate, differing in 2 lines, and is treated as a copy.
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