wusanto-scribe

Name: wusanto-scribe
Availability: InStock
Author: fagemx

Standardize acceptance and gate review for AI-generated deliverables.

Updated Jul 26, 2026

Search Tags:#verification #mcp #governance #acceptance #mission #wusanto

Ready to run

npx skills add https://github.com/fagemx/wusanto --skill wusanto-scribe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wusanto-scribe
Source: https://github.com/fagemx/wusanto/tree/main/skills/wusanto-scribe
Command: npx skills add https://github.com/fagemx/wusanto --skill wusanto-scribe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured acceptance layer for AI-generated work, ensuring that deliverables are verified against explicit criteria before being marked as complete.

Core Features & Use Cases

Mission Intake: Standardizes the intake process by drafting clear acceptance criteria, non-goals, and evidence requirements.
Gate Review: Manages the transition from proposal to execution by enforcing human-signed acceptance receipts.
Use Case: When an agent is tasked with building a complex dashboard, this Skill ensures the user and agent agree on the definition of done, preventing scope creep and ensuring the final output meets all specified requirements.

Quick Start

Use the wusanto-scribe skill to initiate a new mission intake for the current project requirements.

Frequently Asked Questions about wusanto-scribe

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

FAQPage Schema

How do I verify AI-generated deliverables against completion criteria?▼

You verify AI-generated deliverables by applying structured intake and gate review protocols to validate explicit completion criteria. This ensures outputs are checked against predefined requirements before being marked as complete.

What is a human-in-the-loop acceptance layer for agent workflows?▼

A human-in-the-loop acceptance layer for agent workflows is a governance protocol that enforces human-signed acceptance receipts. It transitions proposals into execution by requiring evidence-based sign-offs to guarantee project alignment.

How do I prevent scope creep when an agent builds a complex dashboard?▼

You prevent scope creep during complex agent tasks by drafting clear mission intake documents. This standardizes acceptance criteria, non-goals, and evidence requirements before execution begins, ensuring the final output meets specifications.

Can I track mission decisions and record evidence for AI-generated work?▼

You can track mission decisions and record evidence for AI-generated work using standardized governance protocols. This facilitates mission tracking and decision recording throughout complex agent-driven workflows.

Does this acceptance protocol require specific dependencies to implement?▼

This acceptance protocol requires no external dependencies to implement. It operates independently to enforce validation of completion criteria and manage human-in-the-loop sign-offs for your agent-driven workflows.