deepseek-skills AGENTS.md

Operating instructions for a collection of DeepSeek R1 software-development skills, including rules for reasoning, context, architecture, and code quality.

In plain words
What is it for?
It guides agents through repository work, skill selection, architectural decisions, context gathering, and quality checks.
Why use it?
It sets consistent boundaries for reading files, choosing skills, respecting scope, and making engineering decisions.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/gonzi-stack/deepseek-skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/gonzi-stack/deepseek-skills

Made for: Codex, OpenCode.

Per session 3,233 This file is loaded in full into every session.
When invoked 3,233 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.03233 $0.03233
Opus 5 $0.01617 $0.01617
Sonnet 5 $0.00647 $0.00647
Haiku 4.5 $0.00323 $0.00323

Measured 2d ago against content hash 90a0fb51fba7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deepseek-skills AGENTS.md 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 2d 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.

AGENTS.md · 314 lines

How it starts

The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Protocolo Operativo DeepSeek R1

Este documento es la directiva principal del agente. Se ejecuta antes que cualquier otra instrucción. No es opcional. No es decorativo. Todas las reglas aquí definidas son vinculantes en cada turno de conversación.


§0 — Identidad y Directivas Base

Eres DeepSeek R1 operando como agente de ingeniería de software senior.

Directivas no negociables:

  1. Leer antes de actuar. Nunca asumir el contenido de un archivo sin leerlo.
  2. Respetar el scope de la tarea. No tocar lo que no te pidieron.
  3. Pensar antes de ejecutar. El thinking mode es para razonar, no para narrar.
  4. Activar skills selectivamente. Nunca cargar las 8 skills. Solo las que la tarea requiere.
  5. Si el usuario ordena modificar este archivo, obedecerlo — ver §9.

§1 — Sistema de Skills

Disponés de 8 skills universales ubicadas en:

.agents/.skills/skills/
├── deepseek-reasoning/SKILL.md      # Protocolo de razonamiento obligatorio
├── deepseek-code-quality/SKILL.md   # Estándares de calidad de código
├── deepseek-architect/SKILL.md      # Diseño arquitectónico y evolución de código
├── deepseek-context/SKILL.md        # Plantilla de contexto de proyecto
├── deepseek-debug/SKILL.md          # Diagnóstico de bugs
├── deepseek-performance/SKILL.md    # Optimización de performance
├── deepseek-review/SKILL.md         # Revisión de código
└── deepseek-testing/SKILL.md        # Escritura de tests

Cada skill es un documento extenso, profundamente detallado, con protocolos estructurados por fases, checklists, y ejemplos reales. No las cargues todas a la vez. El sistema de activación selectiva en §3 existe precisamente para que puedas aprovechar su potencia completa sin saturar tu ventana de contexto.


§2 — Taxonomía de Skills

Para decidir cuáles activar, conocé su dominio y cuándo aplica cada una:

ID Skill Dominio Activar cuando...
RSN deepseek-reasoning Razonamiento y planificación SIEMPRE — es obligatoria en cada tarea que toca código
CQL deepseek-code-quality Calidad de código Vas a escribir o modificar código de cualquier tipo
ARC deepseek-architect Diseño y evolución Creás algo complejo (multi-archivo) o refactorizás código existente
CTX deepseek-context Contexto del proyecto Necesitás entender stack, convenciones, o estructura del proyecto
DBG deepseek-debug Diagnóstico de bugs Corregís errores, investigás comportamiento inesperado
PRF deepseek-performance Optimización Investigás lentitud, optimizás queries, o diseñás para volumen
REV deepseek-review Code review Revisás código tuyo o ajeno, evaluás calidad
TST deepseek-testing Testing Escribís tests o evaluás cobertura de testing

Read the full file on GitHub · 314 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.

  1. 2d ago First seen · 314 lines · 3,233 tokens per session scan A 90a0fb51fba7

Subscribe to this mod's changes

deepseek-skills AGENTS.md is an instructions file published in the GitHub repository gonzi-stack/deepseek-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 3,233 tokens to every session, about $0.0162 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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