dvfy

Apply an L1 to L5 evidence-level framework to verification workflows.

4|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/ssdiwu/diwu-workflow --skill dvfy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dvfy
Source: https://github.com/ssdiwu/diwu-workflow/tree/main/skills/dvfy
Command: npx skills add https://github.com/ssdiwu/diwu-workflow --skill dvfy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured evidence-based framework to decide when a task or feature has truly been verified and ready for Done, reducing ambiguity and rework in product and project workflows.

Core Features & Use Cases

  • L1-L5 evidence-tier definitions and mapping to a formal Done gate.
  • Four guiding questions to determine verification status and traceability.
  • Explicit handling for unverifiable items with documented remediation paths.
  • Run-time verification guidance including logging, checks, and validation steps.
  • Suitable for product QA, feature acceptance, and audit trails across documentation, code, and processes.

Quick Start

输入任务ID与证据等级,启动四问验证流程并记录结果。

Frequently Asked Questions about dvfy

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

FAQPage Schema
What is evidence-level verification for product acceptance?

Evidence-level verification categorizes proof from L1 to L5 to decide if a feature meets the Done gate. It maps documentation, code, and process checks to specific tiers, reducing ambiguity in product acceptance workflows.

How do I run a verification workflow using the four guiding questions?

To run a verification workflow, input the task ID and evidence level to trigger the four-question validation process. This framework evaluates traceability and verification status, logging the results to determine if the item passes the Done gate.

Does evidence-based product verification work for project QA and code documentation?

Yes, evidence-based product verification works across project QA, code documentation, and processes. It applies an L1 to L5 evidence framework to ensure feature acceptance and audit trails are validated consistently across different deliverable types.

What is the best way to handle unverifiable items in a QA workflow?

The best way to handle unverifiable items in a QA workflow is to follow a prescribed remediation path. The framework requires explicit documentation of these items alongside the L1-L5 evidence tiers to ensure they are tracked rather than ignored.

When should I not use an L1 to L5 evidence-tier framework?

You should not use an L1 to L5 evidence-tier framework when a project lacks explicit definitions for evidence levels or a Done gate. Without these foundational rules, the verification process cannot properly categorize proof or run validation checks.