codex-cli-bridge

تایید شده

Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools

@alirezarezvani
MIT۱۴۰۴/۱۲/۱۶
62از ۱۰۰
(0)
۶۶۹
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نصب مهارت

مهارت‌ها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناخته‌شده را اسکن می‌کند اما نمی‌تواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.

نصب سراسری (سطح کاربر):

npx skillhub install alirezarezvani/claude-code-skill-factory/codex-cli-bridge

نصب در پروژه فعلی:

npx skillhub install alirezarezvani/claude-code-skill-factory/codex-cli-bridge --project

مسیر پیشنهادی: ~/.claude/skills/codex-cli-bridge/

بررسی هوش مصنوعی

کیفیت دستورالعمل72
دقت توضیحات64
کاربردی بودن50
صحت فنی64

Scores 62. High technical quality with 7 Python scripts and comprehensive documentation. Substantially docked for extremely narrow audience (Claude Code + Codex CLI dual users). The interoperability is valuable for that niche but the audience size limits generality significantly.

محتوای SKILL.md

---
name: codex-cli-bridge
description: Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
---

# Codex CLI Bridge Skill

## Purpose

This skill creates a comprehensive bridge between **Claude Code** and **OpenAI's Codex CLI**, enabling seamless interoperability through:

1. **Documentation Translation**: Converts CLAUDE.md → AGENTS.md (reference-based, no file duplication)
2. **Execution Helpers**: Python wrappers for Codex CLI commands (always uses `codex exec`)
3. **Skill Documentation**: Makes Claude Skills accessible to Codex CLI users

## Key Capabilities

### 1. CLAUDE.md → AGENTS.md Generation
- Parses CLAUDE.md and project structure
- Scans `.claude/skills/`, `.claude/agents/`, `documentation/` folders
- Generates comprehensive AGENTS.md with file path references
- **Reference-based**: No file duplication, only links to existing files
- Documents Skills with most relevant usage method (bash scripts vs prompt references)

### 2. Safety Mechanism
- **Auto-checks Codex CLI installation** (`codex --version`)
- **Auto-runs `/init`** if CLAUDE.md missing (with user notification)
- Validates authentication and environment
- User-friendly error messages

### 3. Codex CLI Execution Helpers
- `exec_analysis()` - Read-only analysis tasks (gpt-5, read-only sandbox)
- `exec_edit()` - Code editing tasks (gpt-5-codex, workspace-write)
- `exec_with_search()` - Web search-enabled tasks
- `resume_session()` - Continue last Codex session
- **Always uses `codex exec`** (never plain `codex` - critical for Claude Code)

### 4. Skill Documentation for Codex CLI
- **Prompt-only skills**: Show how to reference in Codex prompts
- **Functional skills**: Show how to execute Python scripts directly
- **Complex skills**: Show both methods
- Includes proper `codex exec` command syntax
- Model selection guidance (gpt-5 vs gpt-5-codex)

## Input Requirements

### For AGENTS.md Generation
```json
{
  "action": "generate-agents-md",
  "project_root": "/path/to/project",
  "options": {
    "validate_codex": true,
    "auto_init": true,
    "include_mcp": true,
    "skill_detail_level": "relevant"
  }
}
```

### For Codex Execution
```json
{
  "action": "codex-exec",
  "task_type": "analysis|edit|search",
  "prompt": "Your task description",
  "model": "gpt-5|gpt-5-codex",
  "sandbox": "read-only|workspace-write|danger-full-access"
}
```

## Output Formats

### AGENTS.md Structure
```markdown
# AGENTS.md

## Project Overview
[From CLAUDE.md]

## Available Skills
### Skill Name
**Location**: `path/to/skill/`
**Using from Codex CLI**: [Most relevant method]

## Workflow Patterns
[Slash commands → Codex equivalents]

## MCP Integration
[MCP server references]

## Command Reference
| Claude Code | Codex CLI |
|-------------|-----------|
[Mappings]
```

### Execution Helper Output
```python
{
  "status": "success|error",
  "output": "Command output",
  "session_id": "uuid",
  "model_used": "gpt-5|gpt-5-codex",
  "command": "codex exec ..."
}
```

## Python Scripts

### safety_mechanism.py
- Check Codex CLI installation
- Validate CLAUDE.md exists (auto-run /init if missing)
- Environment validation
- User notifications

### claude_parser.py
- Parse CLAUDE.md sections
- Scan skills, agents, commands
- Extract quality gates and MCP configuration
- Return file paths only (no content duplication)

### project_analyzer.py
- Auto-detect project structure
- Discover all Claude Code assets
- Generate project metadata
- Build reference map

### agents_md_generator.py
- Template-based AGENTS.md generation
- File path references (no duplication)
- Skill documentation (most relevant method)
- Workflow translation (Claude → Codex)

### skill_documenter.py
- Document skills for Codex CLI users
- Determine most relevant usage method per skill type
- Generate bash examples for Python scripts
- Create Codex prompt templates

### codex_executor.py
- Python wrappers for Codex CLI commands
- Intelligent model selection (gpt-5 vs gpt-5-codex)
- Sandbox mode helpers
- Session management
- **Always uses `codex exec`**

## Usage Examples

### Example 1: Generate AGENTS.md

**User prompt**:
```
Generate AGENTS.md for this project
```

**What happens**:
1. Safety mechanism checks Codex CLI installed
2. Checks CLAUDE.md exists (auto-runs /init if missing)
3. Parses CLAUDE.md and project structure
4. Generates AGENTS.md with file references
5. Documents all skills with most relevant usage method

**Output**: Complete AGENTS.md file in project root

---

### Example 2: Execute Codex Analysis Task

**User prompt**:
```
Use Codex to analyze this codebase for security vulnerabilities
```

**What happens**:
```python
from codex_executor import CodexExecutor

executor = CodexExecutor()
result = executor.exec_analysis(
    "Analyze this codebase for security vulnerabilities",
    model="gpt-5"
)
```

**Executes**:
```bash
codex exec -m gpt-5 -s read-only \
  -c model_reasoning_effort=high \
  "Analyze this codebase for security vulnerabilities"
```

---

### Example 3: Execute Codex Code Editing

**User prompt**:
```
Use Codex to refactor main.py for better async patterns
```

**What happens**:
```python
executor = CodexExecutor()
result = executor.exec_edit(
    "Refactor main.py for better async patterns",
    model="gpt-5-codex"
)
```

**Executes**:
```bash
codex exec -m gpt-5-codex -s workspace-write \
  -c model_reasoning_effort=high \
  "Refactor main.py for better async patterns"
```

---

### Example 4: Resume Codex Session

**User prompt**:
```
Continue the previous Codex session
```

**What happens**:
```python
executor = CodexExecutor()
result = executor.resume_session()
```

**Executes**:
```bash
codex exec resume --last
```

## Best Practices

### For AGENTS.md Generation
1. **Always run on projects with CLAUDE.md** (or let auto-init create it)
2. **Validate Codex CLI installed first**
3. **Keep skills documented with most relevant method** (bash vs prompt)
4. **Use reference-based approach** (no file duplication)

### For Codex Execution
1. **Use `codex exec` always** (never plain `codex` in Claude Code)
2. **Choose correct model**:
   - `gpt-5`: General reasoning, architecture, analysis
   - `gpt-5-codex`: Code editing, specialized coding tasks
3. **Choose correct sandbox**:
   - `read-only`: Safe analysis (default)
   - `workspace-write`: File modifications
   - `danger-full-access`: Network access (rarely needed)
4. **Enable search when needed** (`--search` flag)

### For Skill Documentation
1. **Prompt-only skills**: Reference in Codex prompts
2. **Functional skills**: Execute Python scripts directly
3. **Complex skills**: Show both methods
4. **Always provide working examples**

## Command Integration

This skill integrates with existing Claude Code commands:

- **`/init`**: Auto-generates AGENTS.md after CLAUDE.md creation
- **`/update-claude`**: Regenerates AGENTS.md when CLAUDE.md changes
- **`/check-docs`**: Validates AGENTS.md exists and is in sync
- **`/sync-agents-md`**: Manual AGENTS.md regeneration
- **`/codex-exec <task>`**: Wrapper using codex_executor.py

## Installation

### Prerequisites
1. **Codex CLI installed**:
   ```bash
   codex --version  # Should show v0.48.0 or higher
   ```

2. **Codex authenticated**:
   ```bash
   codex login
   ```

3. **Claude Code v1.0+**

### Install Skill

**Option 1: Copy to project**
```bash
cp -r generated-skills/codex-cli-bridge ~/.claude/skills/
```

**Option 2: Use from this repository**
```bash
# Skill auto-discovered when Claude Code loads this project
```

## Troubleshooting

### Error: "Codex CLI not found"
**Solution**: Install Codex CLI and ensure it's in PATH
```bash
which codex  # Should return path
codex --version  # Should work
```

### Error: "CLAUDE.md not found"
**Solution**: Skill auto-runs `/init` with notification. If it fails:
```bash
# Manually run /init
/init
```

### Error: "stdout is not a terminal"
**Solution**: Always use `codex exec`, never plain `codex`
```bash
❌ codex -m gpt-5 "task"
✅ codex exec -m gpt-5 "task"
```

### AGENTS.md Out of Sync
**Solution**: Regenerate manually
```bash
/sync-agents-md
```

## References

- **Codex CLI Docs**: `openai-codex-cli-instructions.md`
- **Claude Skills Docs**: `claude-skills-instructions.md`
- **Example Skills**: `claude-skills-examples/codex-cli-skill.md`
- **AGENTS.md Spec**: https://agents.md/

## Version

**v1.0.0** - Initial release (2025-10-30)

## License

Apache 2.0

---

**Created by**: Claude Code Skills Factory
**Maintained for**: Cross-tool team collaboration (Claude Code ↔ Codex CLI)
**Sync Status**: Reference-based bridge (one-way sync: CLAUDE.md → AGENTS.md)