Quality Assurance

Quality Assurance is a skill for Claude Code, Codex from daffy0208/ai-dev-standards. It costs 39 tokens per session (4,029 once invoked), scanned A, original, MIT.

A quality-assurance guide covering software testing, code standards, and checks for deciding whether work is ready to move forward or go to production.

In plain words
What is it for?
Use it to plan unit, integration, and end-to-end tests, set quality measures, review code, connect checks to CI/CD, and assess release readiness.
Why use it?
It brings testing and maintainability checks into the development process, helping teams find defects and quality gaps earlier.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan unit, integration, and end-to-end tests, set quality measures, review code, connect checks to CI/CD, and assess release readiness.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daffy0208/ai-dev-standards/quality-assurance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add daffy0208/ai-dev-standards --skill quality-assurance
Clone the repo
git clone --depth 1 https://github.com/daffy0208/ai-dev-standards

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Quality Assurance

README.md
[![agentmods](https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/quality-assurance/github.svg)](https://agentmods.dev/skills/daffy0208/ai-dev-standards/quality-assurance)
Your own site
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/quality-assurance"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/quality-assurance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Quality Assurance

Your own site · 80×15
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/quality-assurance"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/quality-assurance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.04029
Opus 5 $0.00019 $0.02014
Sonnet 5 $0.00008 $0.00806
Haiku 4.5 $0.00004 $0.00403

Measured 6d ago against content hash 031d0e5c7abf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

Quality Assurance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/quality-assurance/SKILL.md · 724 lines

How it starts

The opening of the file, as written. The whole thing — 724 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality Assurance

Overview

Quality Assurance is a consolidated skill that combines three critical quality dimensions: comprehensive testing strategy, code quality enforcement, and phase-gate validation. It ensures your code is tested, maintainable, and ready for production at every stage.

Consolidated from:

  • testing-strategist - Test pyramid and comprehensive testing
  • code-quality-enforcer - Code standards and best practices
  • validation-gate-checker - Phase transition validation

When to Use This Skill

Use Quality Assurance when:

  • Setting up testing infrastructure for a project
  • Conducting code reviews
  • Validating readiness to move between project phases
  • Establishing quality standards for a team
  • Debugging quality issues in production
  • Improving code maintainability
  • Ensuring production readiness

Key Capabilities

Testing Strategy (from testing-strategist)

  • Design test pyramid with optimal coverage
  • Define unit, integration, and E2E test strategies
  • Set coverage targets and quality metrics
  • Choose testing frameworks and tools
  • Plan test automation and CI/CD integration

Code Quality (from code-quality-enforcer)

  • Enforce coding standards and best practices
  • Review code for readability and maintainability
  • Identify security vulnerabilities and anti-patterns
  • Ensure type safety and error handling
  • Refactor code to improve quality scores

Validation Gates (from validation-gate-checker)

  • Define phase transition criteria
  • Validate readiness for next phase
  • Ensure deliverables are complete
  • Check compliance with standards
  • Prevent premature phase transitions

Workflow

Part 1: Testing Strategy

The Test Pyramid

Structure:

        /\
       /E2E\      10% - End-to-End (Critical user flows)
      /------\
     /Integr-\   20% - Integration (Components, APIs, DB)
    /----------\
   /   Unit     \ 70% - Unit (Functions, classes, logic)
  /--------------\

Rationale:

  • Unit tests are fast, isolated, cheap to maintain
  • Integration tests catch component interaction issues
  • E2E tests validate critical user workflows, but are slow and brittle

Read the full file on GitHub · 724 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 724 lines · 39 tokens per session scan A 031d0e5c7abf

Subscribe to this mod's changes

Quality Assurance is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 39 tokens to every session and 4,029 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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