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 AlekseiUL/sprut-agent-kit --skill geminigit clone --depth 1 https://github.com/AlekseiUL/sprut-agent-kitWrote 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/alekseiul/sprut-agent-kit/gemini)<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/gemini"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/gemini/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/alekseiul/sprut-agent-kit/gemini"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/gemini.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 | $0.00044 | $0.01233 |
| Opus 5.5 | $0.00018 | $0.00493 |
| Sonnet 5.5 | $0.00009 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
gemini 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 1mo 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: gemini-local description: "Gemini CLI for one-shot Q&A, summaries, and generation. Use when user mentions 'gemini', 'ask gemini', 'gemini cli', or needs a quick answer from Google's model."
Gemini CLI Skill
Google Gemini CLI для быстрых вопросов, саммари и генерации контента.
Установка
npm install -g @google/generative-ai-cli
Версия: 0.26.0
Основные команды
One-shot запрос
gemini -p "Ваш вопрос"
Пример:
gemini -p "Суммаризируй этот текст: $(cat file.txt)"
Интерактивный режим
gemini
Или с начальным промптом:
gemini -i "Помоги мне написать..."
Выбор модели
gemini -m gemini-2.0-flash-exp -p "Вопрос"
Доступные модели:
gemini-2.0-flash-exp(по умолчанию, быстрая)gemini-1.5-pro(более мощная)gemini-1.5-flash(баланс)
YOLO mode (автоподтверждение)
gemini -y -p "Создай файл test.txt"
⚠️ Осторожно! Автоматически выполняет все действия без подтверждения.
Работа с файлами
Чтение stdin
cat file.txt | gemini -p "Суммаризируй"
Анализ кода
gemini -p "Объясни этот код:" < script.py
MCP серверы
Gemini CLI поддерживает MCP (Model Context Protocol) для расширений.
gemini mcp list
gemini mcp install <server-name>
Skills & Extensions
Список доступных
gemini skills list
gemini extensions list
Использование конкретных extensions
gemini -e extension1,extension2 -p "Запрос"
Сессии (Resume)
Список сессий
gemini --list-sessions
Возобновить последнюю
gemini -r latest
Возобновить конкретную (по индексу)
gemini -r 5
Удалить сессию
gemini --delete-session 5
Примеры использования
1. Быстрый ответ
gemini -p "Что такое Kaizen?"
2. Суммаризация файла
gemini -p "Кратко перескажи:" < ~/Desktop/document.txt
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.
- 1mo ago First seen · 249 lines · 44 tokens per session scan A a9fc383781d1
gemini is a skill published in the GitHub repository AlekseiUL/sprut-agent-kit (65 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 1,233 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
deepseek-helper
A guide for using the DeepSeek API, a service that lets programs send requests to DeepSeek language models. It covers model choice, example requests, prompt improvements, cost estimates, and common API errors.
opik-optimizer
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
proxy-local-ai-subscriptions
A guide for exposing your local Codex, ChatGPT Codex, or Claude Code subscription through a protected local OpenAI-compatible endpoint, then connecting it to NextClaw as a custom provider.
building-agent-systems
AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt injection, jailbreak defense, output filtering), RAG architecture (chunking, hybrid retrieval, rerank), and prompt…
prompt-engineering
Craft effective prompts that get the best results from language models.
azure-openai-patterns
Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization.