audit-agentic-cli

Audit CLI workflows for deterministic stdout, structured errors, and non-interactive behavior.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/yigitkonur/skills-by-yigitkonur-secondary --skill audit-agentic-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-agentic-cli
Source: https://github.com/yigitkonur/skills-by-yigitkonur-secondary/tree/main/skills/audit-agentic-cli
Command: npx skills add https://github.com/yigitkonur/skills-by-yigitkonur-secondary --skill audit-agentic-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Audit and design agent-ready CLIs with strong, machine-parseable outputs and explicit exit codes.

Core Features & Use Cases

  • Audit checklist: verifies JSON output, stdout/stderr separation, semantic exit codes, and non-interactive behavior.
  • Iterative repair guidance: supports iterative feedback patterns for agent workflows and automation.
  • Agent integration patterns: demonstrates how to integrate CLI into agent workflows with example pipelines.

Quick Start

Install this skill and run the audit suite to validate your CLI's agent-readiness.

Frequently Asked Questions about audit-agentic-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit a CLI for agent-readiness and non-interactive automation?

Auditing a CLI for agent-readiness involves verifying deterministic stdout, structured JSON errors, and explicit exit codes to ensure robust non-interactive behavior for automation and agent-driven workflows.

What makes a CLI agent-ready for automated workflows?

An agent-ready CLI outputs stable JSON envelopes, separates stdout from stderr, uses semantic exit codes, and avoids interactive prompts. These properties allow agents to reliably parse outputs and execute deterministic next steps.

How do I design CLI exit codes and structured errors for machine parsing?

Design CLI exit codes and structured errors by wrapping error details in stable JSON envelopes and using explicit exit codes. This separates stdout from stderr, enabling agents to programmatically parse failures and trigger repair guidance.

Can I get repair guidance for a CLI that fails an agent-readiness audit?

Yes, you can get iterative repair guidance for a CLI that fails an agent-readiness audit. The process provides actionable next steps to fix non-interactive behavior, JSON output formatting, and exit code semantics.

Does this CLI audit tool require any specific dependencies or frameworks?

No, this CLI audit tool requires no external dependencies or specific frameworks. It uses scripts and references to validate agent-readiness, making it applicable to any CLI environment needing structured JSON and exit code verification.