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 agentmods add commands/rmartynenko/workflow-dev-1c-claude-code/update-knowledgegit clone --depth 1 https://github.com/rmartynenko/workflow-dev-1c-claude-codeWhat 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 | $0.00000 | $0.00527 |
| Opus 5 | $0.00000 | $0.00264 |
| Sonnet 5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00053 |
Grade A, and why
update-knowledge 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 2d 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
Команда: Обновление базы знаний
Назначение
Актуализация Memory Bank и документации проекта при изменениях структуры расширения.
Когда использовать
- После добавления новых модулей
- После изменения структуры документов/справочников
- После добавления новых регистров
- При изменении логики интеграции
- Периодически для проверки актуальности
Действия
1. Сканирование структуры
Просканировать директорию исходников:
[путь к src расширения]
Собрать информацию о:
- Общих модулях (количество, имена)
- Документах
- Справочниках
- Регистрах сведений
- Регистрах накопления
- Перечислениях
2. Обновление CLAUDE.md
- Обновить версию расширения
- Обновить счётчики объектов метаданных
- Актуализировать структуру модулей
3. Обновление Memory Bank
techContext.md
- Список модулей с описаниями
- Зависимости
- MCP конфигурация
systemPatterns.md (если нужно)
- Новые архитектурные решения
- Изменения в паттернах
productContext.md (если нужно)
- Новые бизнес-правила
- Изменения в сценариях
4. Проверка базовой конфигурации
Если указан путь к базовой конфигурации — проверить актуальность версии.
5. Вывод отчёта
## Отчёт об обновлении базы знаний
### Дата
[Текущая дата]
### Изменения в структуре
#### Добавлено
- [Тип]: [Название]
#### Удалено
- [Тип]: [Название]
#### Изменено
- [Описание изменений]
### Обновлённые файлы
- [ ] CLAUDE.md
- [ ] techContext.md
- [ ] systemPatterns.md
- [ ] productContext.md
### Рекомендации
- [Если есть]
Пример вызова
/update-knowledge
или
Выполни команду обновления базы знаний из .claude/commands/update-knowledge.md
Автоматизация
Рекомендуется выполнять:
- После каждого значимого изменения структуры
- В начале новой итерации разработки
- При переключении между проектами
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.
- 2d ago First seen · 102 lines · 0 tokens per session scan A 926b24d9ddaa
update-knowledge is a command published in the GitHub repository rmartynenko/workflow-dev-1c-claude-code (40 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 527 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.