Borrowing it
Nothing to install: this file belongs to Rai220/money_alert_ai. 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/Rai220/money_alert_ai/master/AGENTS.mdgit clone --depth 1 https://github.com/Rai220/money_alert_aiWrote 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/instructions/rai220/money_alert_ai/agents-md)<a href="https://agentmods.dev/instructions/rai220/money_alert_ai/agents-md"><img src="https://agentmods.dev/badge/instructions/rai220/money_alert_ai/agents-md.svg" alt="Measured on agentmods" 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 | $0.01966 | $0.01966 |
| Opus 5 | $0.00983 | $0.00983 |
| Sonnet 5 | $0.00393 | $0.00393 |
| Haiku 4.5 | $0.00197 | $0.00197 |
Grade A, and why
money_alert_ai AGENTS.md 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 8d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Агенты мониторинга макро-рисков РФ
Обзор
1. LangChain агент (src/lc_money_alert_bot.py)
Архитектура: Один агент с инструментами
- Один агент (LangChain) с инструментами WebSearch/WebFetch
- Получает все критерии сразу в системном промпте
- Сам планирует порядок проверки
- Использует WebSearch для поиска новостей (Tavily)
- Может группировать похожие критерии
Учёт расходов:
- Выводит итоговую сумму в USD
Формат вывода:
📊 ИТОГОВЫЙ ОТЧЁТ
Уровень риска: 🟢 НИЗКИЙ
Очки: 0
✅ Сработавших критериев нет
📝 Резюме: ...
💡 Рекомендация: ...
💰 СТАТИСТИКА РАСХОДОВ
Шагов агента: N
Input токены: X
Output токены: Y
💵 ИТОГО: $Z.ZZZZ
Запуск:
uv run python src/lc_money_alert_bot.py # OpenAI (по умолчанию)
uv run python src/lc_money_alert_bot.py --provider gemini # Gemini
uv run python src/lc_money_alert_bot.py --provider gigachat # GigaChat
uv run python src/lc_money_alert_bot.py --provider anthropic # Anthropic (claude-opus-4-6)
⚠️ Внимание: Запуск занимает несколько минут и стоит денег (API вызовы).
3. Запуск на Modal.com по расписанию
Файл: src/modal_app.py
Бот запускается автоматически каждые 3 дня в 9:00 по Москве (6:00 UTC).
Настройка секретов
Перед деплоем создайте секреты в Modal Dashboard или через CLI:
# Tavily API ключ
modal secret create tavily TAVILY_API_KEY=tvly-...
# OpenAI (если используете openai)
modal secret create openai OPENAI_API_KEY=sk-...
# Google Gemini (если используете gemini)
modal secret create google GOOGLE_API_KEY=AIza...
# Anthropic (если используете anthropic)
modal secret create anthropic ANTHROPIC_API_KEY=sk-ant-...
# Telegram секреты
modal secret create telegram \
TELEGRAM_BOT_TOKEN=123456789:ABC... \
TELEGRAM_CHANNEL_ID=-100123456789 \
TELEGRAM_ADMIN_CHAT_ID=-100123456789
| Секрет | Переменные | Обязательно | Описание |
|---|---|---|---|
tavily |
TAVILY_API_KEY |
✅ | API ключ Tavily |
openai |
OPENAI_API_KEY |
⚪ | API ключ OpenAI (если используете OpenAI) |
google |
GOOGLE_API_KEY |
⚪ | API ключ Google Gemini (если используете Gemini) |
anthropic |
ANTHROPIC_API_KEY |
⚪ | API ключ Anthropic (если используете Anthropic) |
telegram |
TELEGRAM_BOT_TOKEN |
✅ | Токен Telegram бота |
telegram |
TELEGRAM_CHANNEL_ID |
✅ | ID канала для публикации отчётов |
telegram |
TELEGRAM_ADMIN_CHAT_ID |
⚪ | ID чата для уведомлений админу (опционально) |
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.
- 8d ago First seen · 181 lines · 1,966 tokens per session scan A 3e5d2c8468ca
money_alert_ai AGENTS.md is an instructions file published in the GitHub repository Rai220/money_alert_ai (10 stars, last pushed 5mo ago), licensed MIT. It adds 1,966 tokens to every session, about $0.0098 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.