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-context/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-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/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-context"><img src="https://agentmods.dev/badge/skills/gonzi-stack/deepseek-skills/deepseek-context.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 | $0.00097 | $0.02614 |
| Opus 5.5 | $0.00039 | $0.01046 |
| Sonnet 5.5 | $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 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 — 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.
- 2mo 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 6mo ago), licensed MIT. It adds 97 tokens to every session and 2,614 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.
Other skills, from other repositories
knowledge-ingest
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mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
forget
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Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…