ecommerce.ozon-product-report-search

ecommerce.ozon-product-report-search is a skill for Claude Code, Codex from nexscope-ai/nexscope-ecommerce-skills. It costs 0 tokens per session (3,420 once invoked), scanned A, original, no licence file.

A searchable report tool for Ozon marketplace products. It filters products by category, brand, seller, sales, revenue, price, rating, stock, and related measures.

In plain words
What is it for?
Use it for product research, competitor analysis, assortment planning, and finding possible market opportunities.
Why use it?
It narrows a large marketplace dataset into products that match specific research or business conditions.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for product research, competitor analysis, assortment planning, and finding possible market opportunities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search
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 nexscope-ai/nexscope-ecommerce-skills --skill ecommerce-ozon-product-report-search
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/nexscope-ecommerce-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.

agentmods badge for ecommerce.ozon-product-report-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search/github.svg)](https://agentmods.dev/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search"><img src="https://agentmods.dev/badge/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search/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.

agentmods 80×15 button for ecommerce.ozon-product-report-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search"><img src="https://agentmods.dev/badge/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-ozon-product-report-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,420 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 unknown 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 5.1 $0.00000 $0.03420
Opus 5.5 $0.00000 $0.01368
Sonnet 5.5 $0.00000 $0.00684
Haiku 4.5 $0.00000 $0.00342

Measured 14d ago against content hash 38e113826790, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ecommerce.ozon-product-report-search 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 14d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/ozon_product_report_search.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.

ecommerce-ozon-product-report-search/SKILL.md · 166 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 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.

  1. 14d ago Changed 38e113826790
  2. 24d ago Changed · +2 lines b8a4d5e14699
  3. 1mo ago Changed · +4 lines · -53 tokens per session 721e23a0c039
  4. 1mo ago First seen · 160 lines · 53 tokens per session scan A 251dc2aca17d

Subscribe to this mod's changes

ecommerce.ozon-product-report-search is a skill published in the GitHub repository nexscope-ai/nexscope-ecommerce-skills (99 stars, last pushed 9d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 3,420 tokens. 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 2026-09-03.

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