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.
npx agentmods add skills/gonzi-stack/deepseek-skills/deepseek-contextnpx skills add gonzi-stack/deepseek-skills --skill deepseek-contextgit 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-context)<a href="https://agentmods.dev/skills/gonzi-stack/deepseek-skills/deepseek-context"><img src="https://agentmods.dev/badge/skills/gonzi-stack/deepseek-skills/deepseek-context.svg" alt="Measured on agentmods" 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 | $0.00097 | $0.02614 |
| Opus 5 | $0.00048 | $0.01307 |
| Sonnet 5 | $0.00019 | $0.00523 |
| Haiku 4.5 | $0.00010 | $0.00261 |
Grade A, and why
deepseek-context 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 4d 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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepSeek Project Context Skill — Plantilla Universal
Las skills universales te enseñan principios. Esta skill te enseña el proyecto. Sin contexto de proyecto, DeepSeek aplica principios correctos a suposiciones incorrectas.
Instrucciones de uso
Esta skill es una plantilla. No está lista para usar tal cual.
Cómo usarla:
- Copiar este archivo al proyecto como
DEEPSEEK_CONTEXT.md(o similar) - Completar cada sección con los datos reales del proyecto
- Eliminar las secciones que no aplican
- Agregar secciones que falten y sean relevantes para este proyecto específico
- Mantenerlo actualizado cuando el stack o las convenciones cambien
Cuándo activar:
- Al comenzar cualquier sesión de trabajo en el proyecto
- Cuando DeepSeek asume algo incorrecto sobre el stack o las convenciones
- Cuando se incorpora una tecnología nueva al proyecto
SECCIÓN 1 — Identidad del Proyecto
PROYECTO
========
Nombre: [nombre del proyecto]
Descripción: [qué hace en 2-3 oraciones]
Estado: [en desarrollo activo / mantenimiento / legacy]
Equipo: [tamaño del equipo, si es relevante]
SECCIÓN 2 — Stack Tecnológico
2.1 Lenguaje principal
Lenguaje: [TypeScript / Python / Go / etc.]
Versión: [ej: TypeScript 5.3, Python 3.12]
Modo estricto: [sí/no — si TypeScript: strict: true/false]
2.2 Framework y runtime
Framework principal: [Next.js 14 / FastAPI / Express / etc.]
Runtime: [Node.js 20 / Bun / Deno / etc.]
Renderizado: [SSR / CSR / SSG / edge / etc.] (si aplica)
2.3 Base de datos
DB principal: [PostgreSQL / MySQL / MongoDB / etc.]
ORM / Query builder: [Prisma / Drizzle / SQLAlchemy / raw SQL / etc.]
Schema location: [prisma/schema.prisma / src/db/schema.ts / etc.]
Migraciones: [cómo se crean y aplican]
Naming convention en DB: [snake_case / camelCase]
Soft delete: [sí/no — campo: deleted_at / is_deleted / etc.]
2.4 Autenticación
Sistema de auth: [NextAuth / Clerk / Auth0 / custom / etc.]
Sesión: [JWT / cookies / server sessions]
Dónde está el userId en el contexto: [ctx.session.user.id / req.user.id / etc.]
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.
- 4d ago First seen · 348 lines · 97 tokens per session scan A 35f9faf37ac8
deepseek-context is a skill published in the GitHub repository gonzi-stack/deepseek-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 97 tokens to every session and 2,614 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 2026-08-31.
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