CLI AI 工具

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解读按原文结构重写，命令、链接、术语均保留；右侧可核对作者原始 SKILL.md

原文结构

Tool Index：Tool · Provider · Primary Use Claude Code · Anthropic · Agentic coding, full codebase understanding Codex CLI · OpenAI · Agentic coding with sandboxed execution
Anthropic: Claude Code：The CLI agent currently running in this session. Agentic AI coding with deep codebase understanding, tool use, and MCP integration. Install: Basic usage:
OpenAI: Codex CLI：OpenAI's open-source agentic coding CLI. Runs code in a sandboxed environment with network-disabled containers. Install: Basic usage:

适用与边界

当前原文没有单列适用场景。
当前原文没有单列不适用场景或限制。

原文中的明确线索

要点：「Install」、「Basic usage」、「Key flags」、「Slash commands (interactive mode)」、「Configuration」、「Environment variables」、「Approval modes」、「Usage」
文件与命令：--model <model>、claude-sonnet-4-20250514、-p, --print、--resume、--continue、--dangerously-skip-permissions、--allowedTools <tools>、--output-format <fmt>

流狐整理：以上内容来自当前 SKILL.md 的章节与原词；未补写作者没有声明的工具、兼容性或能力。

CLI AI Coding Tools Reference

Comprehensive reference for all major command-line AI coding assistants. This covers installation, key commands, flags, configuration, and model selection for each tool.

Tool Index

Tool	Provider	Primary Use
Claude Code	Anthropic	Agentic coding, full codebase understanding
Codex CLI	OpenAI	Agentic coding with sandboxed execution
Gemini CLI	Google	Agentic coding with Gemini models
Aider	Open Source	AI pair programming, git-integrated
Goose	Block	Extensible AI agent with plugins
amp	Sourcegraph	AI agent for large codebases
Copilot CLI	GitHub	Command-line suggestions and explanations
Cody CLI	Sourcegraph	Codebase-aware AI assistant
OpenCode	Open Source	Go-based terminal AI coding
qodo	Qodo	AI code quality and testing
Jules	Google	Async coding agent (GitHub-integrated)
Continue	Open Source	AI code assistant (IDE + CLI)
avante	Open Source	Neovim AI plugin (CLI-adjacent)

Anthropic: Claude Code

The CLI agent currently running in this session. Agentic AI coding with deep codebase understanding, tool use, and MCP integration.

Install:

npm install -g @anthropic-ai/claude-code

Basic usage:

claude                          # interactive REPL
claude "explain this codebase"  # start with a prompt
claude -p "what does main do"   # print mode (non-interactive, outputs to stdout)
claude --resume                 # resume last conversation
claude --continue               # continue last conversation with new input

Key flags:

Flag	Description
`--model <model>`	Select model (e.g. `claude-sonnet-4-20250514`)
`-p, --print`	Print mode: non-interactive, single response to stdout
`--resume`	Resume the most recent conversation
`--continue`	Continue last conversation with new input
`--dangerously-skip-permissions`	Skip all permission prompts (use with caution)
`--allowedTools <tools>`	Comma-separated list of allowed tools
`--output-format <fmt>`	Output format: `text`, `json`, `stream-json`
`--max-turns <n>`	Limit autonomous turns in non-interactive mode
`--verbose`	Enable verbose logging

Slash commands (interactive mode):

Command	Description
`/help`	Show all available commands
`/compact`	Compress conversation to save context
`/clear`	Clear conversation history
`/config`	View/edit configuration
`/permissions`	Manage tool permissions
`/install-plugin <url>`	Install a plugin from GitHub
`/mcp`	Manage MCP server connections
`/model`	Switch model mid-conversation
`/cost`	Show token usage and cost
`/doctor`	Diagnose installation issues

Configuration:

Project config: .claude/settings.json in project root
User config: ~/.claude/settings.json
Memory: CLAUDE.md files (project root, ~/.claude/CLAUDE.md)
MCP servers: .claude/mcp.json

Environment variables:

ANTHROPIC_API_KEY=sk-ant-...        # API key
CLAUDE_MODEL=claude-sonnet-4-20250514  # Default model
ANTHROPIC_BASE_URL=...              # Custom API endpoint

OpenAI: Codex CLI

OpenAI's open-source agentic coding CLI. Runs code in a sandboxed environment with network-disabled containers.

Install:

npm install -g @openai/codex

Basic usage:

codex                           # interactive mode
codex "refactor the auth module"  # start with prompt
codex --approval-mode full-auto "fix all tests"  # fully autonomous

Key flags:

Flag	Description
`--model <model>`	Select model (default: `codex-mini-latest`)
`--approval-mode <mode>`	`suggest` (default), `auto-edit`, `full-auto`
`--quiet`	Minimal output
`-p, --prompt`	Non-interactive single prompt

Approval modes:

suggest — asks before every action
auto-edit — auto-approves file edits, asks for commands
full-auto — auto-approves everything (sandboxed)

Configuration:

Config file: ~/.codex/config.yaml or ~/.codex/config.json
Instructions: AGENTS.md in project root (similar to CLAUDE.md)

Environment variables:

OPENAI_API_KEY=sk-...               # API key
CODEX_MODEL=codex-mini-latest       # Default model

Google: Gemini CLI

Google's CLI coding assistant powered by Gemini models. Free tier available with Google account.

Install:

npm install -g @google/gemini-cli
# Or run without installing:
npx @google/gemini-cli

Basic usage:

gemini                          # interactive mode
gemini "explain this function"  # start with prompt
gemini -p "summarize README"   # non-interactive print mode

Key flags:

Flag	Description
`--model <model>`	Select model (e.g. `gemini-2.5-pro`)
`-p`	Non-interactive print mode
`--sandbox`	Run in sandboxed mode
`--debug`	Enable debug output

Configuration:

Config: ~/.gemini/settings.json
Memory: GEMINI.md in project root
Supports MCP servers via .gemini/mcp.json

Environment variables:

GOOGLE_API_KEY=...                  # API key (or use Google auth)
GEMINI_MODEL=gemini-2.5-pro        # Default model

Google: Jules

Google's asynchronous coding agent. Integrates with GitHub — tasks are assigned via issues and Jules works on them in the background, creating PRs.

Usage:

Accessed via jules.google.com or GitHub integration
Not a traditional CLI tool — operates asynchronously on GitHub repos
Assign tasks via GitHub issues or the Jules web interface
Jules creates branches, makes changes, submits PRs

Key features:

Async operation (runs independently in the background)
GitHub-native integration
Multi-file changes with PR creation
Powered by Gemini models

Open Source: Aider

The most popular open-source AI pair programming CLI. Deep git integration, multi-model support, architect/editor pattern.

Install:

pip install aider-chat
# Or:
pipx install aider-chat
# Or with uv:
uv tool install aider-chat

Basic usage:

aider                               # interactive, auto-detects git repo
aider --model claude-3.5-sonnet     # specify model
aider file1.py file2.py             # add files to context
aider --architect                   # architect mode (plan then edit)

Key slash commands (interactive):

Command	Description
`/add <file>`	Add file(s) to the chat context
`/drop <file>`	Remove file(s) from context
`/run <cmd>`	Run a shell command and share output
`/diff`	Show pending diffs
`/commit`	Commit changes with AI-generated message
`/undo`	Undo the last change
`/model <name>`	Switch model
`/architect`	Toggle architect mode
`/ask`	Ask without editing (question-only mode)
`/lint`	Lint changed files
`/test`	Run tests
`/tokens`	Show token usage
`/clear`	Clear chat history
`/exit`	Exit aider

Key flags:

Flag	Description
`--model <model>`	Main model for editing
`--architect`	Use architect mode (separate planning model)
`--editor-model <model>`	Model for code edits (in architect mode)
`--auto-commits` / `--no-auto-commits`	Toggle auto-commit after each change
`--watch-files`	Watch files for changes and auto-add
`--no-git`	Disable git integration
`--yes`	Auto-confirm prompts
`--edit-format <fmt>`	`whole`, `diff`, `udiff`, `diff-fenced`

Configuration:

Config file: .aider.conf.yml (project root or ~/.aider.conf.yml)
Environment: .env file in project root
Model aliases: .aider.model.settings.yml
Environment variables: ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, AIDER_MODEL

Block: Goose

Block's open-source AI agent CLI. Extensible with a plugin system called "extensions" (formerly "toolkits").

Install:

# macOS
brew install block/tap/goose

# Or from source
cargo install goose-cli

# Or via installer script
curl -fsSL https://github.com/block/goose/releases/latest/download/install.sh | bash

Basic usage:

goose session             # start interactive session
goose session -r          # resume last session
goose run "fix tests"     # run with a prompt
goose configure           # configure settings

Key commands:

Command	Description
`goose session`	Start a new session
`goose session -r`	Resume last session
`goose run <prompt>`	Run a single task
`goose configure`	Interactive configuration
`goose info`	Show current configuration

Configuration:

Config file: ~/.config/goose/config.yaml
Supports multiple providers: OpenAI, Anthropic, Google, Ollama, local models
Extensions (plugins) for additional capabilities

Sourcegraph: amp

Sourcegraph's AI coding agent for the terminal. Designed for large codebase understanding.

Install:

# Download from https://ampcode.com
# Or via npm (check current package name):
npm install -g @anthropic-ai/amp

Basic usage:

amp                         # interactive mode
amp "explain the auth flow" # start with prompt
amp --continue              # continue last conversation

Key features:

Thread-based conversations (similar to Claude Code)
Codebase indexing and search
Multi-file editing
Git-aware operations

Configuration:

Config: ~/.amp/settings.json
Memory: AMP.md in project root

GitHub: Copilot CLI

GitHub Copilot's CLI integration. Provides command suggestions and explanations via the gh CLI extension.

Install:

gh extension install github/gh-copilot

Key commands:

Command	Description
`gh copilot suggest "find large files"`	Get command suggestions
`gh copilot explain "tar -xzf file.tar.gz"`	Explain a command

Flags:

Flag	Description
`-t shell`	Target: generic shell command
`-t git`	Target: git command
`-t gh`	Target: GitHub CLI command

Examples:

gh copilot suggest -t git "squash last 3 commits"
gh copilot explain "find . -name '*.log' -mtime +30 -delete"
gh copilot suggest -t shell "monitor CPU usage"

Sourcegraph: Cody CLI

Sourcegraph's AI coding assistant with CLI capabilities. Strong at codebase search and understanding.

Install:

npm install -g @sourcegraph/cody

Basic usage:

cody chat "explain this repo"    # ask questions
cody auth login                  # authenticate
cody auth status                 # check auth

Configuration:

Auth: Sourcegraph access token or SRC_ACCESS_TOKEN env var
Endpoint: SRC_ENDPOINT for self-hosted Sourcegraph

Open Source: OpenCode

Go-based AI coding assistant for the terminal. Lightweight TUI with multi-provider support.

Install:

go install github.com/opencode-ai/opencode@latest
# Or download binary from releases

Basic usage:

opencode                        # launch TUI

Configuration:

Config file: opencode.json in project root
Supports: OpenAI, Anthropic, Google, Groq, local models
Provider-specific API keys via environment variables

Qodo: qodo

AI-powered code quality and test generation tool.

Install:

pip install qodo
# Or:
npm install -g qodo

Key commands:

qodo test <file>                # generate tests
qodo review <file>              # code review
qodo improve <file>             # suggest improvements

Neovim: avante.nvim

AI-powered Neovim plugin. CLI-adjacent — operates within Neovim's terminal-based interface.

Install: Add to Neovim plugin manager (lazy.nvim, packer, etc.):

{ "yetone/avante.nvim", build = "make" }

Key bindings (in Neovim):

<leader>aa — Open Avante chat
<leader>ae — Edit selected code with AI
<leader>ar — Refresh AI response

Configuration:

In Neovim config (init.lua)
Supports: OpenAI, Anthropic, Azure, Ollama, Copilot

Other CLI-Adjacent Tools

The following are primarily IDE-based, not standalone CLI agents:

Tool	Type	Notes
Cline / Roo Code	VS Code extension	Cline forked as Roo Code. No standalone CLI binary.
Cursor	IDE (VS Code fork)	Open from terminal with `cursor` command.
Windsurf	IDE (Codeium)	Open from terminal with `windsurf` command.
Trae	IDE (ByteDance)	Open from terminal with `trae` command.
Continue	VS Code / JetBrains plugin	Config: `~/.continue/config.json`. Supports all major providers.

Quick Model Selection Reference

Tool	Flag/Config	Example
Claude Code	`--model`	`claude --model claude-sonnet-4-20250514`
Codex CLI	`--model`	`codex --model o4-mini`
Gemini CLI	`--model`	`gemini --model gemini-2.5-pro`
Aider	`--model`	`aider --model claude-3.5-sonnet`
Goose	config file	`goose configure` then select provider/model
Copilot CLI	N/A	Uses GitHub Copilot model
OpenCode	config file	Set in `opencode.json`

Additional Resources

references/tools-comparison.md — Detailed side-by-side feature comparison table across all CLI AI coding tools, covering capabilities, model support, pricing, and platform availability.
references/common-patterns.md — Common usage patterns shared across CLI AI tools: context management, multi-file editing, git integration, MCP server configuration, and model routing strategies.

Source: biodoia/biodoia-skills-marketplace — distributed by TomeVault.

流狐档案作者与许可取自来源；运行、权限和网络为流狐检测或估算

流狐分类: AI 智能
作者声明 Agent: 未找到明确声明；不据此推断已兼容或已测试
静态检查: 83 / 100 · 启发式扫描，不代表运行安全
作者 / 版本 / 许可: @tomevault-io · 未声明 license
流狐 Token 估算: 低消耗
流狐接入估算: 需手动接入
是否需要外部 API Key: 需要 · OpenAI / Anthropic / Google / Gemini
检测到的系统要求: macOS
底层运行要求: 未声明
检测到的文件与系统行为: 只读
允许写入 / 修改
Shell 执行
读取环境变量
检测到的网络行为: 允许外网请求
安装命令数: 无（仅作为资料）

档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。

需要注意： 未限定 allowed-tools，默认拥有全部工具权限。；检出高风险片段：pipe_curl_to_shell

输出预览 cli-ai-tools.preview

作者没有在当前 SKILL.md 中定义固定输出样例。

SKILL.md SKILL.md

# CLI AI Coding Tools Reference

Comprehensive reference for all major command-line AI coding assistants. This covers installation, key commands, flags, configuration, and model selection for each tool.

## Tool Index

| Tool | Provider | Primary Use |
|------|----------|-------------|
| Claude Code | Anthropic | Agentic coding, full codebase understanding |
| Codex CLI | OpenAI | Agentic coding with sandboxed execution |
| Gemini CLI | Google | Agentic coding with Gemini models |
| Aider | Open Source | AI pair programming, git-integrated |
| Goose | Block | Extensible AI agent with plugins |
| amp | Sourcegraph | AI agent for large codebases |
| Copilot CLI | GitHub | Command-line suggestions and explanations |
| Cody CLI | Sourcegraph | Codebase-aware AI assistant |
| OpenCode | Open Source | Go-based terminal AI coding |
| qodo | Qodo | AI code quality and testing |
| Jules | Google | Async coding agent (GitHub-integrated) |
| Continue | Open Source | AI code assistant (IDE + CLI) |
| avante | Open Source | Neovim AI plugin (CLI-adjacent) |

---

## Anthropic: Claude Code

The CLI agent currently running in this session. Agentic AI coding with deep codebase understanding, tool use, and MCP integration.

**Install:**
```bash
npm install -g @anthropic-ai/claude-code
```

**Basic usage:**
```bash
claude                          # interactive REPL
claude "explain this codebase"  # start with a prompt
claude -p "what does main do"   # print mode (non-interactive, outputs to stdout)
claude --resume                 # resume last conversation
claude --continue               # continue last conversation with new input
```

**Key flags:**

| Flag | Description |
|------|-------------|
| `--model <model>` | Select model (e.g. `claude-sonnet-4-20250514`) |

…

证据边界与执行链路

作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。

章节    -> Tool Index → Anthropic: Claude Code → OpenAI: Codex CLI → Google: Gemini CLI → Google: Jules → Open Source: Aider
要点    -> Install · Basic usage · Key flags · Slash commands (interactive mode) · Configuration · Environment variables · Approval modes · Usage
文件/命令 -> --model <model> · claude-sonnet-4-20250514 · -p, --print · --resume · --continue · --dangerously-skip-permissions · --allowedTools <tools> · --output-format <fmt>
内容 SHA-256 -> d15ab986d39f

原文结构

适用与边界

原文中的明确线索

CLI AI Coding Tools Reference

Tool Index

Anthropic: Claude Code

OpenAI: Codex CLI

Google: Gemini CLI

Google: Jules

Open Source: Aider

Block: Goose

Sourcegraph: amp

GitHub: Copilot CLI

Sourcegraph: Cody CLI

Open Source: OpenCode

Qodo: qodo

Neovim: avante.nvim

Other CLI-Adjacent Tools

Quick Model Selection Reference

Additional Resources

讨论