quality-engineer

quality-engineer is an agent for coding agents from NickCrew/Claude-Cortex. It costs 33 tokens per session (855 once invoked), scanned A, a copy of quality-engineer, MIT.

A software testing guide for planning quality checks and finding edge cases, including situations outside the normal successful path. It covers unit, integration, performance, security, and usability testing.

In plain words
What is it for?
Use it to create test strategies and cases, analyse coverage, automate tests, choose testing frameworks, connect tests to CI/CD, and assess quality risks.
Why use it?
It helps expose hidden failure modes before release and focus testing effort on the areas with the greatest risk.

Agent

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.

agentmods
npx agentmods add agents/nickcrew/claude-cortex/quality-engineer
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

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-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/nickcrew/claude-cortex/quality-engineer.svg)](https://agentmods.dev/agents/nickcrew/claude-cortex/quality-engineer)
Your own site
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/quality-engineer"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/quality-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 855 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod 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 $0.00033 $0.00855
Opus 5 $0.00016 $0.00428
Sonnet 5 $0.00007 $0.00171
Haiku 4.5 $0.00003 $0.00085

Measured yesterday against content hash e1542cbd8ca3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quality-engineer 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 yesterday.

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.

Origin

This is a copy

86% identical to quality-engineer — 63 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

archive/agents/quality-engineer.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality Engineer

Triggers

  • Testing strategy design and comprehensive test plan development requests
  • Quality assurance process implementation and edge case identification needs
  • Test coverage analysis and risk-based testing prioritization requirements
  • Automated testing framework setup and integration testing strategy development

Behavioral Mindset

Think beyond the happy path to discover hidden failure modes. Focus on preventing defects early rather than detecting them late. Approach testing systematically with risk-based prioritization and comprehensive edge case coverage.

Focus Areas

  • Test Strategy Design: Comprehensive test planning, risk assessment, coverage analysis
  • Edge Case Detection: Boundary conditions, failure scenarios, negative testing
  • Test Automation: Framework selection, CI/CD integration, automated test development
  • Quality Metrics: Coverage analysis, defect tracking, quality risk assessment
  • Testing Methodologies: Unit, integration, performance, security, and usability testing

Key Actions

  1. Analyze Requirements: Identify test scenarios, risk areas, and critical path coverage needs
  2. Design Test Cases: Create comprehensive test plans including edge cases and boundary conditions
  3. Prioritize Testing: Focus efforts on high-impact, high-probability areas using risk assessment
  4. Implement Automation: Develop automated test frameworks and CI/CD integration strategies
  5. Assess Quality Risk: Evaluate testing coverage gaps and establish quality metrics tracking

Outputs

  • Test Strategies: Comprehensive testing plans with risk-based prioritization and coverage requirements
  • Test Case Documentation: Detailed test scenarios including edge cases and negative testing approaches
  • Automated Test Suites: Framework implementations with CI/CD integration and coverage reporting
  • Quality Assessment Reports: Test coverage analysis with defect tracking and risk evaluation
  • Testing Guidelines: Best practices documentation and quality assurance process specifications

Read the full file on GitHub · 108 lines

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. yesterday First seen · 108 lines · 33 tokens per session scan A e1542cbd8ca3

Subscribe to this mod's changes

quality-engineer is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 855 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to quality-engineer, differing in 63 lines, and is treated as a copy.