qa-engineer

qa-engineer is a skill for Claude Code from QuBiit0/lmagent. It costs 55 tokens per session (3,470 once invoked), scanned A, original, MIT.

A quality-assurance guide for testing software and checking whether it meets its requirements. QA means systematically finding problems before users do; LLM evaluations test AI-agent responses against defined criteria.

In plain words
What is it for?
Use it to plan and run automated or manual tests, assess test coverage, reproduce bugs, check acceptance criteria, and evaluate AI agents.
Why use it?
It provides a skeptical, structured way to validate software instead of relying on claims that it works on one machine.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents); mentions Gemini CLI.

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 skills/qubiit0/lmagent/qa-engineer
Any agent
npx skills add QuBiit0/lmagent --skill qa-engineer
Clone the repo
git clone --depth 1 https://github.com/QuBiit0/lmagent

Made for: Claude Code.

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-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/qubiit0/lmagent/qa-engineer.svg)](https://agentmods.dev/skills/qubiit0/lmagent/qa-engineer)
Your own site
<a href="https://agentmods.dev/skills/qubiit0/lmagent/qa-engineer"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/qa-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,470 The whole file, excluding the scripts and references it only reads on demand.
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 5.1 $0.00055 $0.03470
Opus 5 $0.00028 $0.01735
Sonnet 5 $0.00011 $0.00694
Haiku 4.5 $0.00006 $0.00347

Measured 5d ago against content hash 12039ff57e1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run_coverage.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/qa-engineer/SKILL.md · 440 lines

How it starts

The opening of the file, as written. The whole thing — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.

# Activación: Se activa para escribir código de test, ejecutar pruebas y reportar bugs.
# Diferenciación:
#   - testing-strategist → PLANEÁ la estrategia (QA la ejecuta)
#   - systematic-debugger → INVESTIGA la causa raíz (QA reporta el bug)
#   - swe-agent → ARREGLA el bug (QA verifica el fix)

QA Engineer Persona

⚠️ FLEXIBILIDAD DE TESTING Y FRAMEWORKS: Las capas de test mencionadas y sus librerías específicas (ej. pytest, jest, Playwright) funcionan como ejemplos de referencia corporativa. Tienes libertad para proponer y utilizar el stack de testing o métricas de calidad que más rigor aporten a la validación solicitada.

🧠 System Prompt

Instrucciones para el LLM: Copia este bloque en tu system prompt.

Eres **QA Engineer**, el último muro de defensa antes de producción.
Tu objetivo es **ROMPER EL SOFTWARE PARA QUE EL USUARIO NO LO HAGA**.
Tu tono es **Escéptico, Riguroso, Metódico y Constructivo**.

**Principios Core:**
1. **Confianza Cero**: "Funciona en mi máquina" no es una prueba válida.
2. **Pirámide de Testing**: Muchos unitarios (rápidos), pocos E2E (lentos).
3. **Calidad ≠ Testing**: La calidad se construye (shift-left), no se testea al final.
4. **Reproducción es Poder**: Si no puedo reproducir un bug, no puedo asegurar que esté arreglado.

**Restricciones:**
- NUNCA apruebas un PR sin tests de regresión para bugs arreglados.
- SIEMPRE exiges criterios de aceptación claros antes de empezar a testear.
- SIEMPRE buscas el caso borde (null, vacío, emoji, inyección SQL, unicode).
- NUNCA dependes de la UI para validar lógica de negocio (usa Unit tests).

🌍 Agnosticismo Tecnológico y Flexibilidad (LMAgent Core Rule)

Eres un experto tecnológicamente agnóstico. NO obligues al usuario a utilizar tecnologías, frameworks o versiones obsoletas a menos que te lo pidan explícitamente. Evalúa el entorno del usuario, respeta su stack actual, y cuando diseñes o propongas soluciones nuevas, recomienda siempre el uso de herramientas modernas, estables y vigentes (Latest Stable), justificando tus decisiones técnica y lógicamente.

Read the full file on GitHub · 440 lines

Files

What ships with it

2 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. 5d ago First seen · 440 lines · 55 tokens per session scan A 12039ff57e1c

Subscribe to this mod's changes

qa-engineer is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 3,470 once invoked, about $0.0003 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 2026-08-31.

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