What is responder-preguntas-ml?

A MercadoLibre customer-question assistant connected to Algoritmo Digital's tools. It finds unanswered buyer questions, checks listing details and stock, and drafts replies for approval.

Use it to find unanswered questions, prepare numbered reply drafts, publish approved replies, and summarize what remains unanswered.

It reduces the work of checking pending questions and helps avoid promising unavailable stock. Replies are shown for approval before anything is posted publicly.

responder-preguntas-ml — Skill for Claude Code and Codex by kokesaurio

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.

Any agent

npx skills add kokesaurio/mercadolibre-algoritmodigital --skill responder-preguntas-ml

Clone the repo

git clone --depth 1 https://github.com/kokesaurio/mercadolibre-algoritmodigital

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml/github.svg)](https://agentmods.dev/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml)

Your own site

<a href="https://agentmods.dev/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml"><img src="https://agentmods.dev/badge/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml"><img src="https://agentmods.dev/badge/skills/kokesaurio/mercadolibre-algoritmodigital/responder-preguntas-ml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 618 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00088	$0.00618
Opus 5.5	$0.00035	$0.00247
Sonnet 5.5	$0.00018	$0.00124
Haiku 4.5	$0.00009	$0.00062

Measured 1mo ago against content hash 5be2c858c735, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

responder-preguntas-ml 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 1mo 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.

skills/responder-preguntas-ml/SKILL.md · 46 lines

What it actually says

Responder preguntas de compradores en MercadoLibre

Flujo para despachar preguntas pendientes rápido y bien: cada hora sin responder baja la chance de venta.

Requisito

Herramientas ml_* del conector de Algoritmo Digital. Si no están, indicá agregar el conector desde https://mcp.algoritmodigital.com.ar y frená. Con varias tiendas, resolvé la cuenta con ml_cuentas.

Flujo

Traer pendientes con ml_preguntas (por defecto ya filtra pend). Si no hay, avisá y ofrecé revisar las respondidas o ml_mensajes.
Contexto antes de redactar: mirá el título y precio de la publicación (vienen con la pregunta o via ml_publicaciones con el item_id). Si la pregunta es de stock, verificá con ml_stock antes de prometer nada.
Redactar TODAS las respuestas propuestas juntas, numeradas, y presentarlas al usuario para que apruebe, edite o descarte cada una.4. Publicar solo lo aprobado con ml_responder_pregunta, de a una. Es una escritura real, pública e irreversible: jamás la ejecutes sin confirmación explícita de ese texto exacto en esta conversación.
Cerrar con el resumen: respondidas, pendientes que quedaron y por qué.

Reglas de redacción (políticas de MercadoLibre)

Nunca incluir teléfonos, mails, redes, links externos ni invitar a contactar por fuera: MercadoLibre suspende publicaciones por eso.
Responder solo lo que los datos confirman. Si no hay dato (talle, stock, compatibilidad), la respuesta lo dice honestamente y ofrece alternativa.
Tono cordial y vendedor: saludo breve, respuesta directa, cierre que invite a comprar ("¡Comprá con confianza!", "Estamos para ayudarte").
Corta: 1 a 3 oraciones. El comprador lee en el celular.
Si la pregunta es un reclamo encubierto, no improvisar: sugerir revisar ml_reclamos y tratarlo por ahí.

Qué no hacer

No responder en lote sin aprobación individual o de la lista completa.
No prometer envíos, descuentos ni stock que las herramientas no confirmen.
No discutir con compradores agresivos: respuesta neutra y profesional.

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.

1mo ago First seen · 46 lines · 88 tokens per session scan A 5be2c858c735

Subscribe to this mod's changes

responder-preguntas-ml is a skill published in the GitHub repository kokesaurio/mercadolibre-algoritmodigital (0 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 618 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 2026-09-09.

E-commerce algoritmodigital argentina claude mcp mercadolibre

responder-preguntas-ml next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
responder-preguntas-mlkokesaurio/mercadolibre-algoritmodigital	Skill	0	1mo ago	MIT	A	88	Claude Code, Codex
category-opportunity-indexjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	221	Claude Code
growing-leaf-category-trackerjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	213	Claude Code
ml-product-analysisjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	229	Claude Code
seller-copilotjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	230	Claude Code
seller-overview-trackerjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	226	Claude Code
uncontested-niche-finderjoomcode/joompulse-skills	Skill	54	3d ago	MIT	A	222	Claude Code