Borrowing it
Nothing to install: this file belongs to AI-agents-incubator/n8n-pilot. 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/AI-agents-incubator/n8n-pilot/main/.claude/commands/feature.mdgit clone --depth 1 https://github.com/AI-agents-incubator/n8n-pilotWrote 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/commands/ai-agents-incubator/n8n-pilot/feature)<a href="https://agentmods.dev/commands/ai-agents-incubator/n8n-pilot/feature"><img src="https://agentmods.dev/badge/commands/ai-agents-incubator/n8n-pilot/feature/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/commands/ai-agents-incubator/n8n-pilot/feature"><img src="https://agentmods.dev/badge/commands/ai-agents-incubator/n8n-pilot/feature.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 | $0.00012 | $0.00315 |
| Opus 5 | $0.00006 | $0.00158 |
| Sonnet 5 | $0.00002 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
feature 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 4d 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
Помоги мне спланировать и реализовать новую функцию в проекте.
Шаги:
-
Анализ требований:
- Что именно нужно реализовать?
- Какие есть edge cases?
- Как это вписывается в существующую архитектуру?
-
Планирование:
- Какие компоненты нужно создать/изменить?
- Какие API endpoints или Server Actions нужны?
- Нужны ли изменения в БД?
- Какие зависимости потребуются?
-
Безопасность:
- Какие риски безопасности?
- Что нужно валидировать?
- Как проверять авторизацию?
-
Разбивка на задачи:
- Разбей реализацию на небольшие шаги
- Определи порядок выполнения
- Оцени сложность каждого шага
-
Реализация:
- Создай необходимые файлы
- Следуй coding standards
- Добавь комментарии
- Проверь типы TypeScript
-
Тестирование:
- Как протестировать функцию?
- Какие edge cases проверить?
Принципы:
- Следуй архитектуре проекта (.claude/architecture.md)
- Соблюдай coding standards (.claude/coding-standards.md)
- Безопасность превыше всего
- Код должен быть понятным и поддерживаемым
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.
- 4d ago First seen · 45 lines · 12 tokens per session scan A a861faf8d3bb
feature is a command published in the GitHub repository AI-agents-incubator/n8n-pilot (29 stars, last pushed 6mo ago), licensed MIT. It adds 12 tokens to every session and 315 once invoked, about $0.0001 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 2026-09-04.
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.