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-code-qualitynpx skills add gonzi-stack/deepseek-skills --skill deepseek-code-qualitygit 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-code-quality)<a href="https://agentmods.dev/skills/gonzi-stack/deepseek-skills/deepseek-code-quality"><img src="https://agentmods.dev/badge/skills/gonzi-stack/deepseek-skills/deepseek-code-quality.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 | $0.00083 | $0.03216 |
| Opus 5 | $0.00042 | $0.01608 |
| Sonnet 5 | $0.00017 | $0.00643 |
| Haiku 4.5 | $0.00008 | $0.00322 |
Grade A, and why
deepseek-code-quality 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 — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepSeek Code Quality Skill — Universal
Si deepseek-reasoning te enseña cómo pensar, esta skill te enseña cómo escribir. Los principios son universales. Los ejemplos usan TypeScript pero aplican a cualquier lenguaje tipado.
1. Tipos — Escribir código que se defiende solo
1.1 Nunca evadir el sistema de tipos
any, casts forzados, y type assertions son una rendición. Siempre existe un tipo correcto.
// ❌ WRONG — evadiendo el sistema de tipos
const result = (api.user as any).listItems?.();
// ✅ CORRECT — usando el tipo real
const result = api.user.listItems();
Si el compilador se queja, el problema es el tipo — no el cast. Leé el error, encontrá el tipo correcto.
Alternativas a any:
unknown— cuando el tipo es genuinamente desconocido; manejalo con type guards- Generics — cuando el tipo varía pero es predecible
- Tipos de unión explícitos — cuando puede ser una de varias cosas conocidas
1.2 Tipos de retorno explícitos en funciones públicas
Las funciones que forman parte de la API de un módulo deben declarar su tipo de retorno:
// ❌ WRONG — el lector no sabe qué esperar
async function getUserById(id: string) {
// ...
}
// ✅ CORRECT — contrato claro
async function getUserById(id: string): Promise<User | null> {
// ...
}
1.3 Guards para valores potencialmente nulos
Antes de acceder a una propiedad, verificar que el objeto existe:
// ❌ WRONG — crash si rows[0] no existe
const user = rows[0];
return user.name;
// ✅ CORRECT
const user = rows[0];
if (!user) return null;
return user.name;
// ✅ CORRECT — alternativa concisa
return rows[0]?.name ?? null;
1.4 Estados explícitos en lugar de booleans ambiguos
// ❌ WRONG — ¿isActive: false significa suspendido? ¿eliminado? ¿bloqueado?
interface Resource {
isActive: boolean;
}
// ✅ CORRECT — el estado es inequívoco
interface Resource {
status: "active" | "suspended" | "deleted" | "pending";
}
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 First seen · 469 lines · 83 tokens per session scan A 6c8ad87167be
deepseek-code-quality is a skill published in the GitHub repository gonzi-stack/deepseek-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 83 tokens to every session and 3,216 once invoked, about $0.0004 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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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…