What is qa-decision-engine?

A decision guide for choosing which checks to run after a code change. It classifies changed files and determines whether unit tests, end-to-end tests, both, or neither are needed; end-to-end tests check complete user flows in an application.

Use it after a successful build to classify the change, find the relevant tests, handle missing tests, diagnose failures, and report the combined results.

It avoids running irrelevant checks while making sure important changes are tested. It also explains whether tests should be created, changed, run, or investigated after a failure.

qa-decision-engine — Skill for OpenCode by cruzs85

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 cruzs85/opencode-multiagente-local-37-iterations --skill qa-decision-engine

Clone the repo

git clone --depth 1 https://github.com/cruzs85/opencode-multiagente-local-37-iterations

Made for: OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine/github.svg)](https://agentmods.dev/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine)

Your own site

<a href="https://agentmods.dev/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine"><img src="https://agentmods.dev/badge/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine"><img src="https://agentmods.dev/badge/skills/cruzs85/opencode-multiagente-local-37-iterations/qa-decision-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,011 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.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.02011
Opus 5.5	$0.00019	$0.00804
Sonnet 5.5	$0.00010	$0.00402
Haiku 4.5	$0.00005	$0.00201

Measured 2mo ago against content hash 8d06bf70cc69, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-decision-engine 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 2mo 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.

configuraciones/configuracion-16(agentes-ui-analyst)/.opencode/skills/qa-decision-engine/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OBJETIVO

Proveer un árbol de decisión determinístico que qa-validator sigue para:

Clasificar el cambio realizado (basado en archivos modificados)
Determinar si requiere unit tests, E2E tests, ambos o ninguno
Determinar si los tests existen, deben crearse o modificarse
Seleccionar y cargar las skills apropiadas

ÁRBOL DE DECISIÓN PRINCIPAL

PASO 0: Build exitoso?
  NO → Delegar a @code-writer con el error exacto (archivo, línea, mensaje).
        Máx 2 intentos. NO auto-invocarse con task().
        Si persiste → escalar a @decomposer.
  SÍ → Continuar

PASO 1: Clasificar el cambio según archivos modificados

PASO 2: Para CADA tipo de test requerido:
   - Verificar existencia
   - Si no existe → Crear (delegar a @code-writer)
   - Si existe → Ejecutar
   - Si falla → Diagnosticar (distinguir fallo del test vs fallo de impl.)
   - Máx 2 iteraciones por tipo de test

PASO 3: Reportar resultados consolidados

CLASIFICACIÓN DEL CAMBIO

Método de clasificación

Leer los archivos modificados (usando git diff --name-only o leyendo los archivos que se acaban de crear/modificar) y clasificar según estas reglas:

Patrón en archivos modificados	Clasificación	Tests requeridos
`.html`, `.scss`, `*.css` (solo plantilla/estilos)	`[solo-plantilla]`	Solo build ✓
`.service.ts`, `.pipe.ts`, `.directive.ts`, `.guard.ts`	`[servicio-lógica]`	Unit tests
`.component.ts` + `.html` (cambios UI)	`[componente-visual]`	Unit tests + E2E
`canvas`, `requestAnimationFrame`, `game-loop` en archivos	`[game-loop-canvas]`	Unit tests + E2E
`.config.ts`, `.json`, `*.env`, `angular.json`	`[config/infra]`	Solo build ✓
`*.routes.ts`, `app.routes.ts`, router-related	`[ruteo-navegación]`	E2E tests
`*.store.ts`, `state`, `signal()` en servicios	`[data-flow]`	Unit tests
No se puede clasificar (default)	`[no-clasificado]`	Unit tests + E2E (conservador)
Sin cambios (lectura/no-op)	`[sin-cambio]`	Solo build ✓

Read the full file on GitHub · 189 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.

2mo ago First seen · 189 lines · 48 tokens per session scan A 8d06bf70cc69

Subscribe to this mod's changes

qa-decision-engine is a skill published in the GitHub repository cruzs85/opencode-multiagente-local-37-iterations (5 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 2,011 once invoked, about $0.0002 per session on Opus 5.5. 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.

E2E testing Testing Unit testing

qa-decision-engine next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
qa-decision-enginecruzs85/opencode-multiagente-local-37-iterations	Skill	5	3mo ago	MIT	A	48	OpenCode
test-masterJeffallan/claude-skills	Skill	12k	10d ago	MIT	A	104	Claude Code
axiom-testingCharlesWiltgen/Axiom	Skill	1.3k	yesterday	MIT	A	38	Claude Code
test-generatorrshankras/claude-code-apple-skills	Skill	879	yesterday	MIT	A	33	Claude Code
testing-blocksadobe/skills	Skill	322	today	Apache-2.0	A	61	Claude Code
designing-testsCloudAI-X/claude-workflow-v2	Skill	1.4k	1mo ago	MIT	A	48	Claude Code
test-automation-expertcuriositech/some_claude_skills	Skill	264	4d ago	MIT	A	133	Claude Code