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 Desko77/cursor-1c-skills --skill 1c-vanessa-stepsgit clone --depth 1 https://github.com/Desko77/cursor-1c-skillsWrote 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/desko77/cursor-1c-skills/1c-vanessa-steps)<a href="https://agentmods.dev/skills/desko77/cursor-1c-skills/1c-vanessa-steps"><img src="https://agentmods.dev/badge/skills/desko77/cursor-1c-skills/1c-vanessa-steps/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/desko77/cursor-1c-skills/1c-vanessa-steps"><img src="https://agentmods.dev/badge/skills/desko77/cursor-1c-skills/1c-vanessa-steps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00170 | $0.01376 |
| Opus 5 | $0.00085 | $0.00688 |
| Sonnet 5 | $0.00034 | $0.00275 |
| Haiku 4.5 | $0.00017 | $0.00138 |
Grade A, and why
1c-vanessa-steps 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 7d 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
94% identical to 1c-vanessa-steps — 17 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Шаги Vanessa Automation: поиск и валидация
Библиотека из 1569 шагов Vanessa Automation с описаниями и типами, плюс два инструмента: поиск подходящего шага и проверка готового сценария.
Зачем. Шаг Gherkin - это не свободный текст, а вызов конкретной реализации из Vanessa. Модель, не имея реестра, пишет правдоподобную фразу ("И я телепортирую документ в прошлое"), сценарий выглядит корректно и падает только на прогоне в базе - дорого и не сразу понятно. Реестр закрывает это на этапе написания.
When to Use
- Пишешь новый сценарий Vanessa - сначала найди шаги, потом составляй из найденного.
- Правишь чужой сценарий и не уверен, существует ли шаг.
- Получил сценарий от заказчика или из другого проекта - проверь перед запуском.
- Нужно понять, каким шагом делается конкретное действие (открыть форму, заполнить поле, проверить значение, подключить TestClient, работать с файлами).
When NOT to Use
- Юнит-тесты на YaXUnit - это не Gherkin, реестр к ним не относится (см.
testing-patterns.md). - Отладка падающего прогона, где шаг ЕСТЬ, но ведет себя не так - это про данные и конфигурацию, а не про реестр шагов.
Порядок работы
1. Найти шаг вместо того, чтобы его сочинить
python skills/1c-vanessa-steps/scripts/search_steps.py --query "открыть форму документа" --top 5 --format human
python skills/1c-vanessa-steps/scripts/search_steps.py --category UI --subcategory Формы --format human
python skills/1c-vanessa-steps/scripts/search_steps.py --stats
Запрос - на русском, словами задачи. Вывод --format json удобен для дальнейшей обработки,
human - для чтения.
Критерий: каждый шаг будущего сценария найден в реестре. Не нашел - это сигнал, что действие делается иначе (другим шагом или последовательностью), а НЕ разрешение придумать формулировку.
2. Собрать сценарий
Структура файла, обязательные строки заголовка, типовые связки - references/scenario-templates.md.
Правила формулировок и работа с параметрами шагов - references/writing-scenarios.md.
What ships with it
10 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.
- data/steps-library.json 694 KB
- references/scenario-templates.md 31 KB
- references/semantic-validation.md 25 KB
- references/steps-compact.md 54 KB
- references/writing-scenarios.md 27 KB
- scripts/indexer.py 11 KB runs code
- scripts/search_steps.py 26 KB runs code
- scripts/semantic_matcher.py 10 KB runs code
- scripts/step_parser.py 8.1 KB runs code
- scripts/validate.py 33 KB runs code
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.
- 7d ago First seen · 98 lines · 170 tokens per session scan A 9f1d18ca169c
1c-vanessa-steps is a skill published in the GitHub repository Desko77/cursor-1c-skills (57 stars, last pushed today), licensed MIT. It adds 170 tokens to every session and 1,376 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to 1c-vanessa-steps, differing in 17 lines, and is treated as a copy.
Other skills, from other repositories
1c-web-test
A browser-automation tool for testing the 1C:Enterprise web client. It uses scripted actions to navigate screens, fill forms, read tables and reports, and apply filters.
1c-vanessa-steps
A searchable catalogue of 1,569 Vanessa Automation steps, with tools for finding steps and checking Gherkin scenarios. Gherkin is the plain-language format used by behavior-driven tests, where each sentence maps to an implemented test action.
1c-epf-validate
A validator for 1C external reports and external processing files. It checks their XML structure and the objects, properties, forms, and layouts they contain.
1c-cf-validate
A validator for 1C configuration files, where 1C is business software commonly used for accounting and enterprise operations.
1c-interface-validate
A validator for the command interface of a 1C subsystem. This interface is the menu and command structure users see for that part of a 1C application.
1c-form-compile
A builder for managed 1C forms, the screens users work with in the 1C business-software platform. It creates the Form.xml file from a JSON description or from an object's metadata.