brief-clarity-judge

Assesses whether a task brief is clear enough to proceed or escalate.

2|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/bigeasyfreeman/adlc --skill brief-clarity-judge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brief-clarity-judge
Source: https://github.com/bigeasyfreeman/adlc/tree/main/skills/brief-clarity-judge
Command: npx skills add https://github.com/bigeasyfreeman/adlc --skill brief-clarity-judge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the assessment of clarity in triage outcomes, helping to determine if a task is clear enough to proceed or needs human clarification.

Core Features & Use Cases

  • Clarity Assessment: Evaluates the clarity of triage outcomes within a specific confidence band.
  • Escalation Decision: Determines whether a task should proceed or escalate for human review.
  • Use Case: When a task classification confidence is between 0.6 and 0.8, or when there are architecture-affecting unknowns, this Skill can decide if the brief is clear enough to continue or needs human intervention.

Quick Start

Use the brief-clarity-judge skill to assess the clarity of a task brief.

Frequently Asked Questions about brief-clarity-judge

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

FAQPage Schema
How do I automate triage clarity assessment for task briefs with middle confidence scores?

Automate triage clarity assessment by evaluating task classification confidence between 0.6 and 0.8 to determine if a brief is clear enough to proceed or requires human escalation.

When should I escalate a task brief for human clarification during automated triage?

Escalate a task brief for human clarification when architecture-affecting unknowns exist or when triage confidence falls within the middle band, indicating insufficient clarity to proceed automatically.

How does AI decision-making handle task management triage for unclear requirements?

AI decision-making handles task management triage by evaluating an epistemic ledger and classification confidence to judge brief clarity, routing ambiguous tasks to human review instead of proceeding.

What inputs are required to assess triage outcomes in the middle confidence band?

Assessing triage outcomes in the middle confidence band requires a task classification confidence score and an epistemic ledger to evaluate brief clarity and determine escalation needs.

What are the limitations of automating clarity assessment for task triage?

Automating clarity assessment is limited to the middle confidence band and cannot resolve architecture-affecting unknowns independently, requiring human intervention for tasks lacking clear briefs.