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gemini-cli

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-geminigoogle-gemini
59/ 100

公开评测 · 综合采用结论

存在需要人工复核的风险或证据不足

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
107.2kstars
14.7kforks
最近更新 15小时前
评测生成时间(北京时间)
本报告引擎
v3.9.0
当前引擎
v3.16.0

本报告与当前引擎使用不同规则;原分数不会自动更新,不同版本的分数不宜直接对比。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

Evaluation report

综合采用结论

59
D
满分 100
谨慎采用高风险
决策摘要

存在需要人工复核的风险或证据不足

92%
高置信度
100
文档
78
安全
89
质量
100
活跃
70
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+25/2512,093 个去重后的有效字符
  • 独立证据来源+12/203 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核
How it works · 时序图

Gemini CLI 认证与请求流程

README 描述了用户通过 CLI 发起请求,CLI 进行认证(OAuth 或 API Key)后调用 Gemini 模型,并返回结果的过程,涉及用户、CLI、认证服务、模型等多个参与方,存在请求和响应。

AI 提取 · 证据约束

左右滑动查看完整图示

Gemini CLI 认证与请求流程README 描述了用户通过 CLI 发起请求,CLI 进行认证(OAuth 或 API Key)后调用 Gemini 模型,并返回结果的过程,涉及用户、CLI、认证服务、模型等多个参与方,存在请求和响应。用户发起者Gemini CLI代理认证服务验证Gemini 模型处理输入命令认证请求认证结果API 请求响应输出结果
图示依据
  • • 认证选项章节:描述 Sign in with Google 和 API Key 流程
  • • 基本用法:gemini -p 命令示例
  • • 非交互模式:--output-format json 获取结构化输出
五维表现
Gemini CLI 作为终端 AI 代理,解决开发者命令行内获取 AI 能力的明确需求,提供多种安装方式、认证选项和丰富的功能示例,价值可验证。文档结构清晰,覆盖安装、使用、配置、安全等,但部分高级功能依赖外部文档,且错误处理细节未在 README 中直接展示。
质量证据
  • 安装章节:提供 npx、npm、Homebrew、MacPorts、Anaconda 安装命令
  • 认证选项:三种认证方式及环境变量设置(GEMINI_API_KEY、GOOGLE_API_KEY 等)
  • 基本用法:gemini -p 命令及 --output-format json/stream-json 示例
  • 文档导航:列出 Quickstart、Authentication、Configuration 等章节链接
  • 许可证:Apache 2.0 在 README 中明确标注
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 提供多种安装方式(npx、npm、Homebrew、MacPorts、Anaconda)
关注点
  • 发现高风险的一键下载执行或安装命令
  • 错误处理细节未在 README 中直接展示,需依赖外部文档
  • 高级功能(如 MCP 配置、沙箱)仅提供链接,未在 README 中展开
  • 未明确说明不支持的功能或限制
  • 部分命令参数(如 --include-directories)未详细说明
适合

开发者希望在终端中快速使用 Gemini 模型、需要自动化脚本中调用 AI 的场景(headless 模式)、需要与 GitHub 工作流集成的团队、需要 MCP 扩展能力的用户

不建议直接用于

需要完全离线运行的场景(未提及离线支持)、对数据隐私要求极高且不允许外部 API 调用的环境(依赖 Google 服务)

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
100/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
高风险
发现高风险的一键下载执行或安装命令
unsafe-install-commandpackages/core/src/skills/builtin/antigravity-support/SKILL.md:41high confidence
curl -fsSL https://antigravity.google/cli/install.sh | bash

修复:固定版本与校验和,先下载审查再执行,避免管道直接交给 Shell。

优先改进清单
  1. 01固定版本与校验和,先下载审查再执行,避免管道直接交给 Shell。
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

3 个文件 · 22,096 字符

评测引擎

v3.9.0 · AI 复核已启用(deepseek-chat)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

Gemini CLI

Gemini CLI CI Gemini CLI E2E (Chained) Version License View Code Wiki

Gemini CLI Screenshot

Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model.

Learn all about Gemini CLI in our documentation.

🚀 Why Gemini CLI?

  • 🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account.
  • 🧠 Powerful Gemini 3 models: Access to improved reasoning and 1M token context window.
  • 🔧 Built-in tools: Google Search grounding, file operations, shell commands, web fetching.
  • 🔌 Extensible: MCP (Model Context Protocol) support for custom integrations.
  • 💻 Terminal-first: Designed for developers who live in the command line.
  • 🛡️ Open source: Apache 2.0 licensed.

📦 Installation

See Gemini CLI installation, execution, and releases for recommended system specifications and a detailed installation guide.

Quick Install

Run instantly with npx

# Using npx (no installation required)
npx @google/gemini-cli

Install globally with npm

npm install -g @google/gemini-cli

Install globally with Homebrew (macOS/Linux)

brew install gemini-cli

Install globally with MacPorts (macOS)

sudo port install gemini-cli

Install with Anaconda (for restricted environments)

# Create and activate a new environment
conda create -y -n gemini_env -c conda-forge nodejs
conda activate gemini_env

# Install Gemini CLI globally via npm (inside the environment)
npm install -g @google/gemini-cli

Release Channels

See Releases for more details.

Preview

New preview releases will be published each week at UTC 23:59 on Tuesdays. These releases will not have been fully vetted and may contain regressions or other outstanding issues. Please help us test and install with preview tag.

npm install -g @google/gemini-cli@preview

Stable

  • New stable releases will be published each week at UTC 20:00 on Tuesdays, this will be the full promotion of last week's preview release + any bug fixes and validations. Use latest tag.
npm install -g @google/gemini-cli@latest

Nightly

  • New releases will be published each day at UTC 00:00. This will be all changes from the main branch as represented at time of release. It should be assumed there are pending validations and issues. Use nightly tag.
npm install -g @google/gemini-cli@nightly

📋 Key Features

Code Understanding & Generation

  • Query and edit large codebases
  • Generate new apps from PDFs, images, or sketches using multimodal capabilities
  • Debug issues and troubleshoot with natural language

Automation & Integration

  • Automate operational tasks like querying pull requests or handling complex rebases
  • Use MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
  • Run non-interactively in scripts for workflow automation

Advanced Capabilities

  • Ground your queries with built-in Google Search for real-time information
  • Conversation checkpointing to save and resume complex sessions
  • Custom context files (GEMINI.md) to tailor behavior for your projects

GitHub Integration

Integrate Gemini CLI directly into your GitHub workflows with Gemini CLI GitHub Action:

  • Pull Request Reviews: Automated code review with contextual feedback and suggestions
  • Issue Triage: Automated labeling and prioritization of GitHub issues based on content analysis
  • On-demand Assistance: Mention @gemini-cli in issues and pull requests for help with debugging, explanations, or task delegation
  • Custom Workflows: Build automated, scheduled and on-demand workflows tailored to your team's needs

🔐 Authentication Options

Choose the authentication method that best fits your needs:

Option 1: Sign in with Google (OAuth login using your Google Account)

✨ Best for: Individual developers as well as anyone who has a Gemini Code Assist License. (see quota limits and terms of service for details)

Benefits:

  • Free tier: 60 requests/min and 1,000 requests/day
  • Gemini 3 models with 1M token context window
  • No API key management - just sign in with your Google account
  • Automatic updates to latest models

Start Gemini CLI, then choose Sign in with Google and follow the browser authentication flow when prompted

gemini

If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project

# Set your Google Cloud Project
export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
gemini

Option 2: Gemini API Key

✨ Best for: Developers who need specific model control or paid tier access

Benefits:

  • Free tier: 1000 requests/day with Gemini 3 (mix of flash and pro)
  • Model selection: Choose specific Gemini models
  • Usage-based billing: Upgrade for higher limits when needed
# Get your key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="YOUR_API_KEY"
gemini

Option 3: Vertex AI

✨ Best for: Enterprise teams and production workloads

Benefits:

  • Enterprise features: Advanced security and compliance
  • Scalable: Higher rate limits with billing account
  • Integration: Works with existing Google Cloud infrastructure
# Get your key from Google Cloud Console
export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
gemini

For Google Workspace accounts and other authentication methods, see the authentication guide.

🚀 Getting Started

Basic Usage

Start in current directory

gemini

Include multiple directories

gemini --include-directories ../lib,../docs

Use specific model

gemini -m gemini-2.5-flash

Non-interactive mode for scripts

Get a simple text response:

gemini -p "Explain the architecture of this codebase"

For more advanced scripting, including how to parse JSON and handle errors, use the --output-format json flag to get structured output:

gemini -p "Explain the architecture of this codebase" --output-format json

For real-time event streaming (useful for monitoring long-running operations), use --output-format stream-json to get newline-delimited JSON events:

gemini -p "Run tests and deploy" --output-format stream-json

Quick Examples

Start a new project

cd new-project/
gemini
> Write me a Discord bot that answers questions using a FAQ.md file I will provide

Analyze existing code

git clone https://github.com/google-gemini/gemini-cli
cd gemini-cli
gemini
> Give me a summary of all of the changes that went in yesterday

📚 Documentation

Getting Started

Core Features

Tools & Extensions

Advanced Topics

Troubleshooting & Support

  • Troubleshooting Guide - Common issues and solutions.
  • FAQ - Frequently asked questions.
  • Use /bug command to report issues directly from the CLI.

Using MCP Servers

Configure MCP servers in ~/.gemini/settings.json to extend Gemini CLI with custom tools:

> @github List my open pull requests
> @slack Send a summary of today's commits to #dev channel
> @database Run a query to find inactive users

See the MCP Server Integration guide for setup instructions.

🤝 Contributing

We welcome contributions! Gemini CLI is fully open source (Apache 2.0), and we encourage the community to:

  • Report bugs and suggest features.
  • Improve documentation.
  • Submit code improvements.
  • Share your MCP servers and extensions.

See our Contributing Guide for development setup, coding standards, and how to submit pull requests.

Check our Official Roadmap for planned features and priorities.

📖 Resources

Uninstall

See the Uninstall Guide for removal instructions.

📄 Legal

Star History Rank


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