---
name: quality-checklist-ac391eb84a85
description: Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
allowed-tools: Read, Bash, Grep, Glob, Agent, AskUserQuestion
graph:
  domains: [domain:software-engineering]
  skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]
  workflows: [workflow:feature-development]
  topics: [topic:developer-experience]
  roles: [role:tech-lead, role:backend-engineer]
---

- When validating code quality against constitution standards
- When verifying specification requirement coverage
- When running custom project-specific quality checks

## Key Principle

Quality validation must be objective, reproducible, and multi-dimensional. Failed items must have actionable remediation recommendations. The checklist supports convergence loops -- re-validate after fixes until quality threshold is met.

## Process

1. **Validate code quality** - Check against constitution coding standards
2. **Verify test coverage** - Ensure coverage meets constitution thresholds
3. **Check spec satisfaction** - Verify all requirements are implemented
4. **Assess performance** - Validate against constitution benchmarks
5. **Verify security** - Check compliance with constitution security constraints
6. **Execute custom checks** - Run any project-specific quality checks
7. **Score overall quality** - Weighted average across categories (0-100)
8. **Produce recommendations** - Actionable fixes for failed items
9. **Remediation loop** - Re-validate after fixes (up to 3 iterations)

## Tool Use

Invoke via babysitter process: `methodologies/spec-kit/spec-kit-implementation` (quality checklist phase)
Full pipeline: `methodologies/spec-kit/spec-kit-orchestrator`


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering
Roles: Backend Developer, DevOps / SRE, QA / Test Engineer
Specialties: Specialty not specified
Tools: Agent, Askuserquestion, Bash, Glob, Grep, Read
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 473373eb14baabfa0e9ea583aefcfe5f36d6d812d57b6a459c155559edcc823a