Borrowing it
Nothing to install: this file belongs to brayandiazc/project-starter-template-es-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/brayandiazc/project-starter-template-es-ai/main/.claude/skills/instanciar/SKILL.mdgit clone --depth 1 https://github.com/brayandiazc/project-starter-template-es-aiWrote 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.
[](https://agentmods.dev/skills/brayandiazc/project-starter-template-es-ai/instanciar)<a href="https://agentmods.dev/skills/brayandiazc/project-starter-template-es-ai/instanciar"><img src="https://agentmods.dev/badge/skills/brayandiazc/project-starter-template-es-ai/instanciar/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.
<a href="https://agentmods.dev/skills/brayandiazc/project-starter-template-es-ai/instanciar"><img src="https://agentmods.dev/badge/skills/brayandiazc/project-starter-template-es-ai/instanciar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00095 | $0.02118 |
| Opus 5 | $0.00048 | $0.01059 |
| Sonnet 5 | $0.00019 | $0.00424 |
| Haiku 4.5 | $0.00010 | $0.00212 |
Grade A, and why
instanciar 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convierte esta plantilla en la documentación real de un proyecto mediante una entrevista.
Lee TEMPLATE-USAGE.md primero: es la fuente de verdad del catálogo de placeholders (§3),
las reglas de borrado por tipo (§7) y el flujo de adopción (§2). Sigue ese documento si
difiere de los pasos de abajo.
Paso 0 — Guardián de seguridad (antes de nada)
Detente y avisa si estás sobre el REPO-FUENTE del template (no una instancia):
- Revisa
git remote -v. Si el origin es el repositorio de la plantilla (project-starter-template-es-ai), NO instancies: estarías destruyendo la plantilla. - En ese caso, pregunta explícitamente si de verdad se quiere modificar la plantilla original antes de continuar.
Paso 1 — Detectar contexto (nuevo vs. existente)
Sin preguntar aún, inspecciona el repo para deducir el contexto:
- ¿Hay código real? (
package.json,Gemfile,pyproject.toml,go.mod,src/, etc.) - ¿El historial de git tiene commits propios del proyecto o es un clon recién iniciado?
- ¿Siguen intactos los
[PLACEHOLDERS]? (grep -rno '\[[A-ZÁÉÍÓÚÑ0-9_/]\+\]' --include='*.md' .)
Deduce NUEVO (repo vacío / placeholders intactos) o EXISTENTE (ya hay código).
Paso 2 — Confirmar y entrevistar (usa AskUserQuestion)
Muestra tu deducción del Paso 1 y deja corregirla. Luego pregunta SOLO lo que no puedas inferir. En proyectos existentes, pre-rellena las respuestas leyendo el código.
- Lote A · Contexto y tipo: nuevo/existente; tipo (Web · Móvil · Escritorio · API/servicio · Librería).
- Lote B · Identidad: nombre, autor, usuario/org de GitHub, empresa (opcional),
email de soporte, email de seguridad, licencia y año. Infiere autor/usuario de
git configy el año de la fecha del sistema. - Lote C · Stack: runtime, gestor de paquetes, base de datos (o "ninguna"), puerto, comandos (instalar / dev / test / lint). En existente: LÉELO del código, no preguntes.
- Lote D · Capacidades: ¿API? ¿autenticación? ¿i18n? ¿SEO/web pública? ¿emails transaccionales? ¿sistema de diseño/UI? (Cada "no" implica borrar su convención.)
- Lote E · Permisos: ¿dejar el
ask:[Bash]conservador de.claude/settings.json, o crear.claude/settings.local.jsoncon una allowlist de solo-lectura?
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.
- 3d ago Changed · +12 lines 03b327363e4c
- 10d ago First seen · 125 lines · 95 tokens per session scan A a33ff0939b6c
instanciar is a skill published in the GitHub repository brayandiazc/project-starter-template-es-ai (15 stars, last pushed 4d ago), licensed MIT. It adds 95 tokens to every session and 2,118 once invoked, about $0.0005 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 2026-09-01.
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