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Build agentic systems using Claude CLI in headless mode or the Claude Agent SDK.
Passed 25 of 25 test cases with the skill, and 12 of 25 without it.
and 15 more in the full report
13 fixed12 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When generating a summary using OpenCode CLI in non-interactive CI pipelines, which option specifies JSON formatted output?
| Checked | Without skill | With skill |
|---|---|---|
| The command uses the -f json flag. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill enables the use of AI coding agents in non-interactive mode for automation scenarios. It provides command references, safety considerations, and practical examples for integrating AI agents into automated workflows.
| Agent | Basic Command | Automation Flag | Best For |
|---|---|---|---|
| Claude Code | claude -p "prompt" | Auto-approved by default | General coding tasks |
| OpenAI Codex | codex exec "prompt" | --full-auto | Complex refactoring |
| Google Gemini | gemini -p "prompt" | --yolo (if available) | Analysis tasks |
| OpenCode | opencode -p "prompt" | Auto-approved by default | Multi-provider support |
| Qwen Code | qwen -p "prompt" | --yolo | Local model support |
| Factory Droid | droid exec "prompt" | --auto <level> | Controlled automation |
Choose the appropriate agent based on your requirements:
Claude Code CLI - Best for general-purpose coding with excellent code understanding
# Basic usage
claude -p "Review this code for security issues"
# With additional context
claude -p "Generate tests for authentication module" --add-dir ./tests
OpenAI Codex CLI - Best for complex refactoring and code transformation or a comprehensive research
# Automated refactoring
codex exec --full-auto "Refactor this module to use async/await"
# Outside git repos
test cases passed, vs 12 / 25 without
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