saad

Name: saad
Availability: InStock
Author: Almaz

Identify acceptance gaps and generate explicit QA verdicts from available evidence.

Updated Mar 25, 2026

Search Tags:#qa #evidence #reproduce #acceptance #proof #verdict

Ready to run

npx skills add https://github.com/almazom/agents_slash_skills --skill saad

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: saad
Source: https://github.com/almazom/agents_slash_skills/tree/main/saad
Command: npx skills add https://github.com/almazom/agents_slash_skills --skill saad

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Saad provides a QA-centric decision framework to determine if acceptance criteria are truly met, by isolating evidence, guiding minimal reproduce steps, and delivering explicit verdicts.

Core Features & Use Cases

Explicit verdicts and evidence-focused reasoning (ACCEPTED, REJECTED, INCONCLUSIVE)
Minimal reproduce and proof path guidance to verify claims
Cross-pane coordination and escalation boundaries to maintain accountability

Quick Start

Ask Saad to assess the current evidence and return a clear verdict with the strongest proof path.

Frequently Asked Questions about saad

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

FAQPage Schema

How do I generate explicit QA verdicts from available test evidence?▼

Generate explicit QA verdicts by isolating available evidence and checking it against bounded acceptance criteria. This framework outputs ACCEPTED, REJECTED, or INCONCLUSIVE decisions alongside minimal reproduce steps and proof collection artifacts.

What is a minimal reproduce flow in QA proof collection?▼

A minimal reproduce flow in QA proof collection is a guided path to verify claims using the strongest available evidence. It helps isolate acceptance gaps and generate explicit verdicts by focusing on reproducible artifacts across pane or parallel tasks.

How do I identify acceptance gaps in bounded acceptance checks?▼

Identify acceptance gaps in bounded checks by assessing the current evidence against required criteria. This QA framework isolates missing proof, returns an INCONCLUSIVE or REJECTED verdict, and guides the next steps for evidence collection.

Can I use this QA verdict framework for parallel tasks?▼

Yes, you can use this QA verdict framework for parallel tasks. It supports cross-pane coordination and escalation boundaries to maintain accountability while collecting proof and generating explicit ACCEPTED, REJECTED, or INCONCLUSIVE verdicts.

When should I use an INCONCLUSIVE verdict in QA testing?▼

Use an INCONCLUSIVE verdict in QA testing when available evidence is insufficient to fully meet bounded acceptance criteria. This verdict shape indicates identified acceptance gaps and guides the next steps for minimal reproduce and proof collection.