Borrowing it
Nothing to install: this file belongs to gonzi-stack/deepseek-skills. 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/gonzi-stack/deepseek-skills/main/.agents/.skills/skills/deepseek-architect/SKILL.mdgit clone --depth 1 https://github.com/gonzi-stack/deepseek-skillsWrote 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/gonzi-stack/deepseek-skills/deepseek-architect)<a href="https://agentmods.dev/skills/gonzi-stack/deepseek-skills/deepseek-architect"><img src="https://agentmods.dev/badge/skills/gonzi-stack/deepseek-skills/deepseek-architect/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/gonzi-stack/deepseek-skills/deepseek-architect"><img src="https://agentmods.dev/badge/skills/gonzi-stack/deepseek-skills/deepseek-architect.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 | $0.00111 | $0.03314 |
| Opus 5.5 | $0.00044 | $0.01326 |
| Sonnet 5.5 | $0.00022 | $0.00663 |
| Haiku 4.5 | $0.00011 | $0.00331 |
Grade A, and why
deepseek-architect 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.
How it starts
The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepSeek Architect Skill — Universal
Si deepseek-reasoning te enseña cómo leer el proyecto, esta skill te enseña cómo diseñar la solución. Antes de escribir código complejo, o antes de tocar código que ya funciona, hay una fase de diseño obligatoria.
Cuándo activar esta skill
Escenario A — Creación compleja: Vas a crear algo que involucra más de un archivo nuevo, múltiples capas, o integración entre módulos que no existen. Una función simple no requiere esta skill. Un servicio nuevo con su schema, lógica, y endpoint sí.
Escenario B — Evolución de código existente: Vas a refactorizar, optimizar performance, o extender una feature en código que ya funciona y tiene usuarios o dependencias reales.
Regla de oro: Si te equivocás en el diseño, escribís código correcto para el problema incorrecto. Si te equivocás en el refactor, rompés algo que funcionaba. Ambos casos requieren pensar antes de ejecutar.
FASE A — Diseño Arquitectónico (para creación compleja)
A.1 Definir los límites del sistema
Antes de pensar en implementación, definí exactamente qué entra y qué sale:
LÍMITES DEL SISTEMA
===================
Nombre del componente/servicio: [nombre]
Inputs:
- [qué recibe, de dónde, en qué formato]
Outputs:
- [qué produce, hacia dónde, en qué formato]
Efectos secundarios esperados:
- [qué modifica en el mundo: DB, cache, emails, eventos, etc.]
Lo que NO hace (explícito):
- [lista — definir el límite negativo evita scope creep]
No podés diseñar bien lo que no está acotado.
A.2 Identificar las capas necesarias
Un sistema bien diseñado separa responsabilidades. Identificá cuántas capas necesitás y cuál es la única responsabilidad de cada una:
| Capa | Responsabilidad única | Ejemplos |
|---|---|---|
| Presentación / API | Recibir input, validar formato, devolver respuesta | Endpoints HTTP, handlers, resolvers |
| Lógica de negocio | Tomar decisiones, aplicar reglas | Services, use cases, domain logic |
| Acceso a datos | Leer y escribir en el sistema de persistencia | Repositories, queries, models |
| Infraestructura | Comunicarse con el mundo externo | Email, storage, third-party APIs |
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 · 380 lines · 111 tokens per session scan A 2dd6bbb293e6
deepseek-architect is a skill published in the GitHub repository gonzi-stack/deepseek-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 111 tokens to every session and 3,314 once invoked, about $0.0004 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.
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