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examples-auto-run

Execute Python example scripts automatically with logging and failure reruns.

Updated Jan 29, 2026
Search Tags:#automation#testing#logging#python#examples#rerun
One-click install
npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill examples-auto-run-novaai-innovation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: examples-auto-run
Source: https://github.com/NovaAI-innovation/Infinite-Agency/tree/main/.qwen/skills/examples-auto-run
Command: npx skills add https://github.com/NovaAI-innovation/Infinite-Agency --skill examples-auto-run-novaai-innovation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the execution of Python examples, handling interactive prompts and logging for efficient testing and validation.

Core Features & Use Cases

  • Automated Execution: Runs uv run examples/run_examples.py with automatic input and approval.
  • Detailed Logging: Captures per-example logs and a main summary log for easy review.
  • Rerun Failures: Generates a list of failed examples for quick re-execution.
  • Use Case: Developers can use this to automatically run a suite of example scripts, ensuring they function correctly without manual intervention, and quickly re-run any that fail.

Quick Start

Start the examples in auto mode by running .codex/skills/examples-auto-run/scripts/run.sh start.

Frequently Asked Questions about examples-auto-run

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

FAQPage Schema
How do I automate Python example script execution without manual input approval?▼

Automated Python example execution bypasses manual input by running scripts in a non-interactive mode with auto-approval. This handles interactive prompts automatically, enabling validation of example codebases without user intervention.

How can I capture detailed logs for Python example scripts during regression testing?▼

You can capture detailed logs for Python example scripts by executing them in automated background mode. The process generates per-example logs alongside a main summary log, providing comprehensive status monitoring for regression testing.

What is the best way to re-run failed Python example scripts after validation?▼

The best way to re-run failed Python example scripts is by utilizing the automatic failure rerun capability. After initial execution, the system generates a list of failed examples for quick re-execution and targeted validation.

Does running Python examples in non-interactive mode support background execution and status monitoring?▼

Running Python examples in non-interactive mode fully supports background execution and status monitoring. It facilitates hands-free regression testing by collecting logs and tracking execution status automatically.

When should I use automated rerun capabilities for Python example codebases?▼

You should use automated rerun capabilities for Python example codebases when validating large suites where intermittent failures occur. It isolates failed examples into a dedicated list for quick re-execution, streamlining regression testing.

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