expectations-checklist

Store operator acceptance criteria as structured YAML expectations checklists.

11|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Arcanada-one/datarim --skill expectations-checklist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: expectations-checklist
Source: https://github.com/Arcanada-one/datarim/tree/main/skills/expectations-checklist
Command: npx skills add https://github.com/Arcanada-one/datarim --skill expectations-checklist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents inconsistent results by preserving the operator’s acceptance criteria as a checklist that can be verified later, instead of relying on agents’ interpretations that may drift over time.

Core Features & Use Cases

  • Operator-controlled acceptance test: Captures each human-readable “wish” as a verifiable checklist item tied to PRD acceptance criteria when available.
  • Evidence-typed verification: Enforces per-item evidence requirements (empirical, static, measurement) so QA checks are specific and testable.
  • Fail-block routing with overrides: Marks items as met/partial/missed and blocks the pipeline when partial/missed items lack an operator-provided override.
  • Append-only evolution: Supports canonical-first creation and later append-merge amendments without rewriting or losing history.

Quick Start

Create a task-specific expectations checklist file and then run /dr-qa or /dr-compliance to verify each wish and either pass, conditionally pass with override, or block and route back to /dr-do with the focused wish-ids.

Frequently Asked Questions about expectations-checklist

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

FAQPage Schema
How do I turn operator intent into verifiable acceptance criteria for AI-assisted tasks?

Operator intent is reconciled by storing acceptance criteria as a structured expectations checklist for AI-assisted tasks. This prevents inconsistent results by preserving human-readable wishes tied to PRD requirements instead of relying on agent interpretations that may drift over time.

How does evidence-typed QA verification work for acceptance criteria?

Evidence-typed QA verification enforces per-item evidence requirements categorized as empirical, static, or measurement. This ensures QA checks during /dr-qa are specific and testable before an acceptance criterion item can be marked as met.

What happens when a QA verification checklist item is marked as partial or missed?

When a checklist item is partial or missed, fail-block routing stops the pipeline until an operator provides a valid override. Without an override, routing is blocked and the task routes back to /dr-do with the focused wish-ids to address the specific failures.

Can I amend an existing acceptance criteria checklist without losing verification history?

Yes, you can amend an expectations checklist without losing history because the system uses append-only evolution. It supports canonical-first creation and later append-merge amendments, ensuring the checklist evolves without rewriting or losing prior operator intent and verification records.

Does the expectations checklist require task-scoped YAML frontmatter for compliance gating?

Yes, the expectations checklist requires task-scoped YAML frontmatter for compliance gating. This structured metadata is essential for reconciling operator intent during /dr-compliance checks across PRD- and plan-based routing workflows.