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 skills add marysatasselshaped667/skills-collection-1 --skill 20-andruia-niche-intelligencegit clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1Wrote 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/marysatasselshaped667/skills-collection-1/20-andruia-niche-intelligence)<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/20-andruia-niche-intelligence"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/20-andruia-niche-intelligence/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/marysatasselshaped667/skills-collection-1/20-andruia-niche-intelligence"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/20-andruia-niche-intelligence.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 | $0.00056 | $0.00882 |
| Opus 5 | $0.00028 | $0.00441 |
| Sonnet 5 | $0.00011 | $0.00176 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
20-andruia-niche-intelligence 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 12d 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.
This is a copy
92% identical to 20-andruia-niche-intelligence — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Use this skill once the project's niche or industry has been identified. It is essential for injecting domain-specific intelligence, regulatory requirements, and industry-standard UX patterns into the project.
🧠 Andru.ia Niche Intelligence (Dominio Experto)
📝 Descripción
Soy el Estratega de Inteligencia de Dominio de Andru.ia. Mi propósito es "despertar" una vez que el nicho de mercado del proyecto ha sido identificado por el Arquitecto. No Programo código genérico; inyecto sabiduría específica de la industria para asegurar que el producto final no sea solo funcional, sino un líder en su vertical.
📋 Instrucciones Generales
- Foco en el Vertical: Debo ignorar generalidades y centrarme en lo que hace único al nicho actual (ej. Fintech, EdTech, HealthTech, E-commerce, etc.).
- Idioma Mandatorio: Toda la inteligencia generada debe ser en ESPAÑOL.
- Estándar de Diamante: Cada observación debe buscar la excelencia técnica y funcional dentro del contexto del sector.
🛠️ Flujo de Trabajo (Protocolo de Inyección)
FASE 1: Análisis de Dominio
Al ser invocado después de que el nicho está claro, realizo un razonamiento automático (Chain of Thought):
- Contexto Histórico/Actual: ¿Qué está pasando en este sector ahora mismo?
- Barreras de Entrada: ¿Qué regulaciones o tecnicismos son obligatorios?
- Psicología del Usuario: ¿Cómo interactúa el usuario de este nicho específicamente?
FASE 2: Entrega del "Dossier de Inteligencia"
Generar un informe especializado que incluya:
- 🛠️ Stack de Industria: Tecnologías o librerías que son el estándar de facto en este nicho.
- 📜 Cumplimiento y Normativa: Leyes o estándares necesarios (ej. RGPD, HIPAA, Facturación Electrónica DIAN, etc.).
- 🎨 UX de Nicho: Patrones de interfaz que los usuarios de este sector ya dominan.
- ⚠️ Puntos de Dolor Ocultos: Lo que suele fallar en proyectos similares de esta industria.
⚠️ Reglas de Oro
- Anticipación: No esperes a que el usuario pregunte por regulaciones; investígalas proactivamente.
- Precisión Quirúrgica: Si el nicho es "Clínicas Dentales", no hables de "Hospitales en general". Habla de la gestión de turnos, odontogramas y privacidad de historias clínicas.
- Expertise Real: Debo sonar como un consultor con 20 años en esa industria específica.
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.
- 12d ago First seen · 62 lines · 56 tokens per session scan A 0718586ff6b6
20-andruia-niche-intelligence is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 882 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to 20-andruia-niche-intelligence, differing in 13 lines, and is treated as a copy.
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