makinari-rol-judge-task

Validate MAKINARI task flows for tool-call presence and matching acceptance tokens.

1|Updated May 8, 2025
One-click install
npx skills add https://github.com/Uncodier/API --skill makinari-rol-judge-task
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: makinari-rol-judge-task
Source: https://github.com/Uncodier/API/tree/main/src/skills/makinari-rol-judge-task
Command: npx skills add https://github.com/Uncodier/API --skill makinari-rol-judge-task

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate MAKINARI task and automation flows by ensuring at least one tool-call is recorded and acceptance tokens match.

Core Features & Use Cases

  • Enforces a minimal contract for flow evaluations, requiring at least one tool-call.
  • Verifies acceptance tokens align with expected outcomes in transcripts.
  • Supports both task-focused and automation-style MAKINARI workflows for end-to-end validation.

Quick Start

Provide a flow transcript to the judge and confirm it contains at least one tool-call with acceptance tokens that match.

Frequently Asked Questions about makinari-rol-judge-task

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

FAQPage Schema
How do I validate task flow transcripts to ensure tool execution occurred?

Task flow validation checks that at least one tool-call is recorded and acceptance tokens match expected outcomes. Provide a flow transcript to confirm it contains a tool-call with acceptance tokens that align, passing the minimal contract enforced by the judge.

What is the minimal contract required for automation flow acceptance checks?

Automation flow acceptance requires verifying at least one tool-call is present in the transcript and that acceptance tokens match. This minimal contract ensures runtime events and evidence of tool execution align with expected automation outcomes.

How do I verify acceptance tokens align with tool-call records in MAKINARI workflows?

Verifying acceptance tokens in MAKINARI workflows involves checking that recorded tool-call evidence matches the expected acceptance tokens in the transcript. The judge evaluates this alignment to confirm the automation flow meets its required outcomes.

Can I use this validation for both task-focused and automation-style MAKINARI workflows?

Yes, this validation supports both task-focused and automation-style MAKINARI workflows for end-to-end validation. It evaluates transcripts containing runtime events, tool execution evidence, and acceptance checks across both workflow types.

Why does my automation flow fail validation when no tool-call is recorded?

Automation flow validation fails without a recorded tool-call because the minimal contract requires at least one tool-call to be present. The judge enforces this requirement to ensure there is evidence of tool execution before matching acceptance tokens.