qa-testing-strategy

qa-testing-strategy is a skill for Codex from vasilyu1983/AI-Agents-public. It costs 35 tokens per session (2,900 once invoked), scanned A, original, MIT.

A testing-planning guide for choosing test coverage, quality gates, and release evidence based on the risks in a software project.

In plain words
What is it for?
Use it to define unit, integration, contract, property-based, or end-to-end testing; set CI and release gates; and manage flaky-test health.
Why use it?
It helps teams avoid testing too little, running unnecessary tests, or trusting flaky tests that give unreliable results.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

not rated 87repo +5 8d ago A scan Socket: passSnyk: passSkillSpector: pass 35 tokens original MIT

Good fit Use it to define unit, integration, contract, property-based, or end-to-end testing; set CI and release gates; and manage flaky-test health.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vasilyu1983/ai-agents-public/qa-testing-strategy
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 vasilyu1983/AI-Agents-public --skill qa-testing-strategy
Clone the repo
git clone --depth 1 https://github.com/vasilyu1983/AI-Agents-public

Made for: 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 qa-testing-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/qa-testing-strategy/github.svg)](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/qa-testing-strategy)
Your own site
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/qa-testing-strategy"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/qa-testing-strategy/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 qa-testing-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/qa-testing-strategy"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/qa-testing-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,900 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 13 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00035 $0.02900
Opus 5 $0.00017 $0.01450
Sonnet 5 $0.00007 $0.00580
Haiku 4.5 $0.00003 $0.00290

Measured 7d ago against content hash e3182a92fd1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

qa-testing-strategy 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 7d 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.

frameworks/shared-skills/skills/qa-testing-strategy/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA Testing Strategy

Risk-based quality engineering guidance for modern software delivery. Use this skill to decide what to test, at which layer, with which gates, and how to keep the signal trustworthy.

Start with references/operational-playbook.md for the navigation hub. Use current official sources from data/sources.json when you need vendor or standards guidance.

Scope

  • Create or update a risk-based test strategy
  • Choose a test shape (pyramid, trophy, honeycomb) based on architecture and defect origin
  • Define merge gates, deploy gates, and release evidence — including merge queue interaction
  • Choose the smallest effective layer: unit, component, contract, schema fuzzing, integration, E2E, property-based
  • Make failures diagnosable with artifacts, correlation IDs, traces, and ownership
  • Operationalize suite health: flake SLO, quarantine policy, execution budgets, dashboards

Use Instead

Need Skill
Implement or debug Playwright suites qa-testing-playwright
Design API contract suites in depth qa-api-testing-contracts
Debug failing tests or incidents qa-debugging
Add observability, telemetry, or tracing qa-observability
Test LLM agents or evaluations qa-agent-testing
Mobile-specific strategy or automation qa-testing-mobile
Security audit or threat-model depth software-security-appsec
CI/CD pipeline design and infra ops-devops-platform

Quick Reference

Layer Goal Typical Use
Unit Prove logic and invariants fast Pure functions, domain rules, validators
Component Validate UI behavior in a real browser with narrow scope UI components, state transitions, accessibility smoke
Contract Prevent breaking changes across service boundaries OpenAPI, AsyncAPI, JSON Schema, Protobuf
Schema fuzzing Stress the API contract with generated valid and invalid inputs Request/response edge cases, parser and validation drift
Property-based Verify universal invariants across generated input spaces Serialization round-trips, numeric contracts, state-machine invariants, AI-code edge cases
Integration Validate real boundaries and dependencies API + DB, queues, adapters, auth flows
E2E Validate thin critical journeys Sign-up, checkout, publish, payment, admin recovery
Performance Enforce budgets and capacity Load, stress, soak, latency regression
Visual Catch intentional vs accidental UI changes Stable pages, design-system components
Accessibility Check for common WCAG 2.2 failures early axe smoke + manual audit plan
Security Catch common web/API vulnerabilities early SAST, DAST smoke, auth and dependency checks

Read the full file on GitHub · 200 lines

Files

What ships with it

35 files 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. 7d ago First seen · 200 lines · 35 tokens per session scan A e3182a92fd1e

Subscribe to this mod's changes

qa-testing-strategy is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 8d ago), licensed MIT. It adds 35 tokens to every session and 2,900 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.

Related

Other skills, from other repositories

sd-test

The disciplined test-recipe gate the generic agent runs for the software-delivery TEST step (/foundry:sd-test, step 8). A PROCEDURE — invoke the MERGED foundry-verify.py executor, read the run record's records whose phase == "testrecipe" (unit / integration / e2e), surface the profile's numeric coveragegate and advise…

lukasrepublic/agentic-foundry · 154 tokens

test-architecture

Test organization, fixtures, factories (factoryboy/faker), test isolation, database cleanup, and test configuration. Use when the user is setting up a test suite, organizing test files, creating test fixtures, or dealing with test isolation issues.

VersoXBT/claude-initial-setup · 53 tokens

screen-reader-testing

Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.

wshobson/agents · 39 tokens

web3-testing

Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.

wshobson/agents · 46 tokens

temporal-python-testing

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

wshobson/agents · 45 tokens

data-quality-frameworks

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

wshobson/agents · 37 tokens