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create-qa-ops

v1.1.0

Published

Scaffold a quality governance system for agent-assisted software development. Findings, audits, QA sessions, merge gates — ready for AI agents to read and execute.

Downloads

28

Readme

create-qa-ops

Quality governance for agent-assisted software development.

Scaffold a complete quality system — findings, audits, QA sessions, merge gates — designed for AI agents to read and execute.

Based on Founder-Led Engineering Ops.

Quick start

npx create-qa-ops

That's it. Run it from your project root and it scaffolds everything.

What it creates

your-project/
├── docs/quality/
│   ├── README.md                          # Index
│   ├── AGENTS.md                          # Agent reads this to auto-configure everything
│   ├── review-sop.md                      # Operating procedure (roles, sequence, merge gate)
│   ├── findings/
│   │   ├── open.md                        # Live backlog of findings
│   │   └── closed.md                      # Historical log
│   ├── templates/
│   │   ├── finding-template.md            # Structure for every finding
│   │   ├── qa-session-prompt.md           # Prompt template for QA sessions
│   │   ├── audit-prompt.md                # Prompt template for pre-merge audits
│   │   ├── reverify-prompt.md             # Prompt template for fix re-verification
│   │   └── qa-checklist-skeleton.md       # Skeleton QA checklist to adapt
│   └── report/                            # One file per audit or QA session
└── .kiro/steering/
    ├── quality-core.md                    # Base rules (always active)
    └── finding-governance.md              # Finding lifecycle governance

Existing files are never overwritten.

The system

Roles

| Role | Does | Modifies code? | |---|---|---| | Orchestrator (human) | Coordinates, triages, decides merge readiness | No | | Implementer (agent) | Executes tasks, fixes findings | Yes | | Auditor (agent) | Technical audit, detects findings | No | | QA (agent) | Browser/product flow validation | No | | Final auditor (different model) | Last review before merge | No |

Finding lifecycle

NEW → TRIAGED → ACCEPTED → FIXED_PENDING_VERIFICATION → VERIFIED_CLOSED
                         → REJECTED (with rationale)
                         → DEFERRED (with rationale)

A fix is not closed until a different role verifies it.

Severity

| Level | Blocks merge? | Examples | |---|---|---| | P0 | Yes | Security breach, data loss, broken core flow | | P1 | Yes | Major functional bug, serious spec mismatch | | P2 | No | Moderate defect, edge case, non-blocking regression | | P3 | No | Cosmetic, polish, minor code quality |

Merge gate

A branch is not merge-ready unless:

  • 0 open P0 findings
  • 0 open P1 findings
  • All accepted findings are verified closed or formally deferred
  • Critical QA flows passed
  • Findings logs updated

Multi-model audit

Use at least two model families. The implementation model has blind spots — a different model family for the final audit systematically catches what the first one misses. This is not redundancy; it's a deliberate quality mechanism.

How to use

  1. Run npx create-qa-ops in your project
  2. Auto-configure with AI: tell your agent to read docs/quality/AGENTS.md — it contains step-by-step instructions for the agent to configure everything automatically (replaces placeholders, generates a QA checklist from your actual routes, verifies steering files)
  3. Or configure manually: read docs/quality/review-sop.md and replace {{PLACEHOLDERS}} in the prompt templates
  4. Start logging findings in docs/quality/findings/open.md
  5. Use the steering files (.kiro/steering/) if you're on Kiro — otherwise include their content in your agent's system prompt

Prompt templates

The templates are ready to copy-paste into a new agent session:

  • qa-session-prompt.md — Full QA session with Playwright MCP + DB verification
  • audit-prompt.md — Pre-merge technical audit (security, data, architecture, API)
  • reverify-prompt.md — Re-verify specific findings after fixes

Each template has {{PLACEHOLDERS}} for your app URL, DB tool, branch name, etc.

Philosophy

This system exists because generating code is not the same as building software. AI agents accelerate execution, but quality requires specification, structured review, evidence-based findings, and human governance.

The goal is not maximum output — it's verifiable throughput with control.

Prerequisite: spec-driven development

This quality system assumes you have specs before you audit. That means:

  • Requirements (functional + non-functional)
  • Design document (architecture, decisions, constraints)
  • Implementation plan (phases, tasks, acceptance criteria)

Without specs, findings lack traceability and audits become opinion. The quality system governs the gap between "what was specified" and "what was built".

Kiro steering files

If you use Kiro, the steering files are automatically injected into agent context:

  • quality-core.md — Always active. Base rules for all agents.
  • finding-governance.md — Auto-included when auditing, reviewing, or triaging.

If you use another IDE, include the content of these files in your project rules or system prompt.

License

MIT — 0xnavarro