What is linkfox-damai-mercado-market-intelligence?

A market-research tool for Mercado Libre, the online marketplace used across Latin America. It examines categories, products, sellers, sales trends, images, and public reviews.

It helps with category analysis, product selection, competitor research, sales-trend checks, image-based product searches, and review analysis.

It brings several kinds of marketplace evidence into one workflow instead of requiring separate searches for market size, competitors, trends, and reviews.

linkfox-damai-mercado-market-intelligence

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 linkfox-ai/linkfox-skills --skill linkfox-damai-mercado-market-intelligence

Clone the repo

git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills

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/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-intelligence/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-intelligence)

Your own site

<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-intelligence"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-intelligence"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-damai-mercado-market-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,576 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	$0.00125	$0.02576
Opus 5.5	$0.00050	$0.01030
Sonnet 5.5	$0.00025	$0.00515
Haiku 4.5	$0.00013	$0.00258

Measured 1mo ago against content hash a1b314263963, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkfox-damai-mercado-market-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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/damai_mercado_market_intelligence.py, scripts/onboarding.py, scripts/upload_image.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/linkfox-damai-mercado-market-intelligence/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Damai Mercado Libre Market Intelligence

This skill researches Mercado Libre markets through one LinkFox gateway endpoint. It selects the appropriate operation, validates snake_case arguments, and presents category, industry, product, trend, image-search, or review data.

Core Concepts

Call only ${LINKFOX_TOOL_GATEWAY}/damai/call. Never call the upstream data provider directly or ask the user for an upstream X-API-Key.
Send {"toolName":"...","arguments":{...}}; preserve documented snake_case field names exactly.
Treat search_categories and get_my_quota_status as free operations. Each successful call to one of the other five operations costs 12 LinkFox points (￥0.12) and consumes one upstream plan request when an active plan exists, or one upstream point when the account is in points billing mode. Plan expiry or exhaustion does not automatically fall back to points; inspect quota status instead of guessing the billing mode.
Read data first. Use contentText only when data is textual or ambiguous; do not show rawResponse unless diagnostics are requested.
Read references/api.md before constructing uncommon filters or interpreting provider-specific fields.

Data Fields

Operation	Main output
Category search	Category IDs, localized paths, level, 30-day orders/GMV, price, merchant and listing counts
Industry overview	Monthly order/price/GMV trends and category summary metrics
Product search	Products, prices, 30/60/90-day and lifetime sales, seller/category data, fulfillment, inventory, attribute aggregation
Sales trend	Monthly and ISO-week order series with coverage metadata
Image search	Similar Mercado Libre product IDs and provider status
Review search	Review text, rating, date, product and buyer fields

Parameter Guide

Markets: MLM Mexico, MLB Brazil, MLA Argentina, MLC Chile, MCO Colombia. Default is MLM when omitted.
Category keywords and product keywords must use the selected market's local language.
Resolve a category name with free search_categories before using paid category analysis.
search_product_snapshots requires at least one of keyword, category_id, sku_id, shop_id, shop_query, or product_url.
image_search_products requires image_url or image_base64. For a local image, run python scripts/upload_image.py <path> and use the returned public URL.
product_sales_trend.days accepts 1-731. review_search.limit and product-search limit accept at most 100.
Product listing dates accept YYYYMMDD or YYYY-MM-DD. Product sort fields are sales_30d, historical_total_sales, price, listing_date, rating, review_count, or title.
product_status accepts a string such as active/paused or an upstream integer status value.
Do not pass uId, uid, memberId, undocumented camelCase aliases, or unknown fields.

Read the full file on GitHub · 142 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 142 lines · 125 tokens per session scan A a1b314263963

Subscribe to this mod's changes

linkfox-damai-mercado-market-intelligence is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 125 tokens to every session and 2,576 once invoked, about $0.0005 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 2026-09-15.

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