Claude Code CLI Integration for Openclaw

A comprehensive CLI integration for Openclaw Skills that enables autonomous code development, auditing, and repository management via Claude Code.

kotoriy
v1.0.0
Mar 8, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install openclaw-claude-code-bailian

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install openclaw-claude-code-bailian using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Claude Code CLI Integration?

Claude Code is a high-performance command-line interface that allows developers to interact with their codebase using natural language. When integrated with Openclaw Skills, it provides a bridge for AI agents to perform complex engineering tasks such as multi-file refactoring, performance optimization, and automated pull request generation. This skill leverages the full power of Anthropic's models to act as a terminal-based pair programmer.

By utilizing Openclaw Skills, developers can choose between non-interactive execution for quick tasks or full PTY-backed interactive sessions for deep debugging. It supports various permission levels, ensuring that autonomous changes are only made when the developer grants explicit authority, making it a safe yet powerful tool for modern software engineering workflows.

Claude Code CLI Integration Use Cases

  • Performing automated code reviews and analyzing git diffs for potential bugs.
  • Refactoring legacy modules to use modern language features and performance patterns.
  • Generating comprehensive unit tests and automatically fixing failing test cases.
  • Streamlining DevOps workflows by creating descriptive git commits and PR descriptions.
  • Mapping and understanding new or complex codebases through natural language queries.
  • Integrating with external tools like GitHub, Jira, and Slack via the Model Context Protocol.

How Claude Code CLI Integration Works

  1. The agent initializes by verifying the authentication status of the Claude CLI within the Openclaw Skills environment.
  2. For simple queries, the agent uses the Print mode to execute a single command and capture the output.
  3. For complex tasks, the agent initiates an interactive PTY session, allowing for multi-turn reasoning and tool usage.
  4. The agent analyzes the local filesystem, identifies relevant files, and proposes a plan of action based on the permission mode.
  5. Changes are applied to the codebase, and the agent can optionally run shell commands to verify the fix or run linting.
  6. Finally, the agent can use git integrations to commit the changes and finalize the task.

Claude Code CLI Integration Setup

To get started with this skill for Openclaw Skills, install the Claude Code CLI using PowerShell or WinGet:

# Install via PowerShell
irm https://claude.ai/install.ps1 | iex

# Or install via WinGet
winget install Anthropic.ClaudeCode

Next, authenticate your session:

claude auth login --email [email protected]

Ensure your agent configuration has pty: true enabled to support interactive terminal features.

Claude Code CLI Integration Data Schema & Taxonomy

The skill manages its operation through local configuration and session metadata as detailed below:

Component Data Type Purpose
Session History Local Cache Allows the agent to resume previous coding conversations using --continue.
Sub-agents JSON Config Defined in .claude/agents/ to specialize in tasks like security or documentation.
Settings JSON Located in %USERPROFILE%\\.claude\\settings.json for API endpoints and keys.
MCP Registry Tool Schema Connects the CLI to external services like GitHub or SQL databases.

Claude Code CLI Integration Advanced Features

  • Support for Model Context Protocol (MCP) to extend agent capabilities to third-party services.
  • Specialized sub-agent delegation for focused tasks such as security audits or code reviews.
  • Custom model provider support, allowing integration with platforms like Alibaba Cloud DashScope.
  • Granular permission modes including 'plan' (read-only), 'medium' (confirmation required), and 'auto' (fully autonomous).
  • Budgetary controls via --max-budget-usd to prevent unexpected API costs during long-running tasks.

SKILL.md


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