checklist-runner

Name: checklist-runner
Availability: InStock
Author: SynkraAI

Execute markdown checklists and gather evidence from project artifacts.

3.1k|939|Updated Dec 9, 2025

Search Tags:#automation #workflow #devops #quality assurance #checklist #validation

Ready to run

npx skills add https://github.com/SynkraAI/aios-core --skill checklist-runner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: checklist-runner
Source: https://github.com/SynkraAI/aios-core/tree/main/.claude/skills/checklist-runner
Command: npx skills add https://github.com/SynkraAI/aios-core --skill checklist-runner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the validation of work against predefined checklists, ensuring consistency and quality across various tasks and agents.

Core Features & Use Cases

Generic Checklist Execution: Runs any .md checklist, supporting both autonomous (YOLO) and interactive modes.
Contextual Evidence Gathering: Automatically collects relevant documents, code, and test results to assess checklist items.
Use Case: Before a developer pushes code, they can run the pre-push-checklist to ensure all quality gates are met, preventing potential issues.

Quick Start

Use the checklist-runner skill to execute the story-dod-checklist in interactive mode.

Frequently Asked Questions about checklist-runner

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

FAQPage Schema

How do I automate validation against a markdown checklist before pushing code?▼

Markdown checklist validation is automated by executing predefined .md checklists in autonomous mode to verify quality gates are met before a code push. The runner gathers contextual evidence from source code and test results to assess each checklist item.

Can I run quality assurance checklists interactively instead of fully autonomous?▼

Interactive quality assurance checklist execution is supported alongside autonomous YOLO mode. Running interactively allows you to facilitate structured review processes for development and DevOps tasks by stepping through validation items with contextual evidence gathering.

How does a checklist runner gather evidence for validation items?▼

Evidence gathering for checklist validation automatically collects relevant project artifacts like story files, source code, and test results to assess checklist items. This contextual evidence collection ensures quality assurance checks are validated against actual project state.

What's the best way to validate DevOps workflows using predefined checklists?▼

Validating DevOps workflows with predefined checklists involves executing generic markdown-based checklists that support both autonomous and interactive modes. This approach ensures consistency and quality across various tasks and agents by automating the structured review process.

Does checklist validation work for product ownership tasks or only development?▼

Checklist validation works for product ownership tasks in addition to development and DevOps workflows. The generic markdown-based checklist execution facilitates structured review processes across various tasks, gathering relevant documents and code to assess items.

When should I not use autonomous mode for checklist validation?▼

Autonomous checklist validation mode should be avoided when you need to manually review contextual evidence or make subjective quality decisions. Interactive mode is better suited for facilitating structured review processes where human oversight is required for development tasks.