checklist-runner

Execute automated validation of tasks against Markdown-based project checklists and generate status reports.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/fabiolpgomes/lodgra --skill checklist-runner-fabiolpgomes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: checklist-runner
Source: https://github.com/fabiolpgomes/lodgra/tree/main/.agents/skills/checklist-runner
Command: npx skills add https://github.com/fabiolpgomes/lodgra --skill checklist-runner-fabiolpgomes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates ambiguity in project quality standards by providing a standardized, automated engine to validate work against predefined checklists.

Core Features & Use Cases

  • Autonomous Validation: Runs in YOLO mode to process entire checklists and generate comprehensive pass/fail reports.
  • Interactive Review: Supports section-by-section verification for high-stakes tasks requiring human oversight.
  • Use Case: Use this to ensure a new feature branch meets the Definition of Done before merging, or to verify that a release candidate satisfies all deployment requirements.

Quick Start

Invoke the checklist runner to execute the story-dod-checklist in interactive mode to validate your current progress.

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 of project tasks against a Definition of Done checklist?

To automate validation of project tasks against a Definition of Done checklist, you can use an automated runner to parse local documentation and test results, calculating pass rates to generate a final status report for your workflow.

Can I validate git diffs against Markdown checklists before merging a feature branch?

Yes, you can validate git diffs against Markdown checklists before merging a feature branch. The runner parses local documentation and code changes to ensure adherence to predefined quality standards and deployment requirements.

What is the difference between autonomous YOLO mode and interactive section-by-section review for quality assurance?

Autonomous YOLO mode processes entire checklists to generate comprehensive pass or fail reports without intervention, while interactive review supports section-by-section verification for high-stakes tasks requiring human oversight.

How do I generate pass rate reports for DevOps workflows using Markdown-based checklists?

You generate pass rate reports for DevOps workflows by executing automated validation against Markdown-based checklists. The engine parses test results and documentation to calculate pass rates and output a final status report.

Does checklist validation work without external dependencies for local CI pipelines?

Yes, checklist validation works without external dependencies for local CI pipelines. The engine autonomously parses local documentation, git diffs, and test results to calculate pass rates and generate status reports.

When should I use interactive verification instead of autonomous processing for quality gates?

You should use interactive section-by-section verification instead of autonomous processing for high-stakes development tasks that require human oversight, ensuring strict adherence to quality standards before deployment.