# Acceptance Criteria Mapper

> Turn skill, bundle, feature, or workflow goals into testable acceptance criteria. Use when Codex is asked to define pass/fail checks, map requirements to verification steps, or make a skill evaluation measurable.

- Skill: `gabrielmoreira/acceptance-criteria-mapper` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/acceptance-criteria-mapper`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/acceptance-criteria-mapper/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- License: MIT
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/acceptance-criteria-mapper

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# Acceptance Criteria Mapper

## Core Workflow

1. Identify the artifact, audience, and decision the criteria must support.
2. Convert broad goals into observable pass/fail checks.
3. Separate required behavior, optional quality signals, and out-of-scope
   expectations.
4. Add evidence requirements for each criterion: file, output, test, reviewer
   note, citation, trace, or command result.
5. Include safety and refusal criteria for high-risk workflows.
6. Flag criteria that are too subjective, too broad, or dependent on private
   data.

## Safety Rules

- Do not convert legal, financial, medical, security, or employment judgment
  into automatic approval criteria.
- Do not mark criteria satisfied without evidence.
- Do not use vague criteria such as "looks good" without observable checks.

## Deliverable Shape

For criteria maps, provide:

- Artifact and audience
- Required acceptance criteria
- Optional quality criteria
- Evidence required
- Safety/refusal criteria
- Open assumptions
- Validation method

## References

- Read `references/acceptance-criteria-mapper-checklist.md` when turning goals
  into measurable checks.