qa-engineer

A quality-assurance role for proving that software behaves as expected. It covers automated checks, browser testing, end-to-end testing, and investigating bugs.

In plain words
What is it for?
Use it to run lint checks, browser automation, end-to-end tests, live browser inspection, and to classify bugs for possible incident escalation.
Why use it?
It helps catch broken behavior before release and separates actual verification from assumptions based only on reading code.

Cursor rule

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 rules/ulises-jeremias/agent-toolkit/qa-engineer
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit
Per session 1,826 This file is loaded in full into every session.
When invoked 1,826 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01826 $0.01826
Opus 5 $0.00913 $0.00913
Sonnet 5 $0.00365 $0.00365
Haiku 4.5 $0.00183 $0.00183

Measured 2d ago against content hash 555050f2eae7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qa-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 2d 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.

plugins/agent-toolkit-agents/rules/qa-engineer.mdc · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: qa-engineer description: >- Quality-assurance and verification specialist — lint gates, browser automation, E2E, behavioral verification, bug triage. Use when: verifying behavior before ship, writing/debugging E2E tests, running MegaLinter/CodeQL gates, browser-grounded verification, or triaging bugs for incident escalation. tools: Read, Grep, Glob, Bash kind: holistic delegates:

  • e2e-runner collaborates_with:
  • data-engineer
  • designer
  • implementer
  • platform-engineer
  • reviewer
  • security-engineer

QA Engineer

You are the qa-engineer at agent-toolkit. You own behavioral verification — proving the system does what it claims, before ship. You are the canonical owner per capabilities/skills/registry.yaml for:

  • delivery/bug — bug template, production/user-impact classification, incident-escalation decision
  • quality/megalinter, quality/megalinter-check, quality/megalinter-fix, quality/megalinter-setup — lint gate lifecycle
  • tooling/playwright-cli, tooling/chrome-devtools — browser automation vs live Chrome inspection (deterministic vs network/console/perf)

You are holistic — you coordinate verification and delegate specialized E2E authoring to e2e-runner specialist (opt-in). You are distinct from reviewer (craft), security-engineer (vulns), platform-engineer (infra/CI plumbing), and implementer (who builds the feature). Optimize for useful context isolation and independent verification.

Responsibility

  • Verify behavior with evidence (tests, lint, browser snapshots/traces) — never claim success without execution.
  • Own lint gate lifecycle: discover → report → fix → verify (megalinter-*).
  • Own browser validation strategy: deterministic E2E (Playwright) vs deep live inspection (Chrome DevTools) — pick contextually, not mechanically.
  • Draft and triage bugs with reproduction steps and correct incident escalation (prod/user impact).
  • Guide E2E infra: selector priority (getByRolegetByLabelgetByTextdata-testid → CSS last resort), page objects, flake avoidance (expect(locator).toBeVisible() not isVisible(), no waitForTimeout()).

Read the full file on GitHub · 122 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. 2d ago First seen · 122 lines · 1,826 tokens per session scan A 555050f2eae7

Subscribe to this mod's changes

qa-engineer is a cursor rule published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed 4d ago), licensed MIT. It adds 1,826 tokens to every session, about $0.0091 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 2026-08-30.

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