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examples-auto-run

Automate Python example runs with logging, reruns, and background execution.

Updated Feb 23, 2026
Search Tags:#automation#logging#python#background#rerun#example-run
One-click install
npx skills add https://github.com/sisyphus1212/codex-fusion-starter-template --skill examples-auto-run-sisyphus1212
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: examples-auto-run
Source: https://github.com/sisyphus1212/codex-fusion-starter-template/tree/main/scaffold/.agents/skills/examples-auto-run
Command: npx skills add https://github.com/sisyphus1212/codex-fusion-starter-template --skill examples-auto-run-sisyphus1212

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automatically run Python example programs in auto mode with built-in logging, rerun support, and optional background execution to minimize manual supervision.

Core Features & Use Cases

  • Auto-run examples with per-example logs and a main log, plus optional background operation.
  • Rerun capability: collect failed examples for quick re-execution and support rerun execution.
  • Lifecycle helpers: start, stop, status, logs, tail, collect, and rerun commands for easy management.

Quick Start

Start the examples runner in auto mode using the start command and monitor progress via the logs.

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 running Python example programs with logging and rerun support?▼

You can automate Python examples by using scaffold scripts that provide a start, stop, status, and logs CLI surface. This enables hands-off execution with per-example logs and automatic rerun generation for failed tests.

Can I run Python example suites in the background across CI environments?▼

Yes, this automation supports optional background operation for local and CI environments. It respects environment overrides for auto mode, allowing you to execute Python example suites hands-off without manual supervision.

What is the best way to collect and rerun failed Python examples automatically?▼

The best way to collect failed Python examples is using the built-in collect and rerun CLI commands. These lifecycle helpers gather failed examples for quick re-execution and support rerun execution to validate fixes.

How do I monitor the progress of an automated Python example run?▼

You monitor progress using the logs and tail CLI commands provided by the scaffold scripts. These commands output both a main log and per-example logs, giving you real-time visibility into the background execution status.

Do I need specific environment configurations to use auto mode for Python examples?▼

No specialized configurations are required, but the runner respects environment overrides for auto mode. You simply use the start command to begin execution, and the system handles the logging and rerun generation automatically.

What commands are available for managing the lifecycle of automated Python runs?▼

The available lifecycle commands include start, stop, status, logs, tail, collect, and rerun. These scaffold scripts provide complete management over Python example execution, from initiating background runs to collecting failures.

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