ecommerce.tiktok-seller-detail

ecommerce.tiktok-seller-detail is a skill for Claude Code, Codex from nexscope-ai/nexscope-ecommerce-skills. It costs 183 tokens per session (2,288 once invoked), scanned A, original, no licence file.

A detailed TikTok Shop seller-profile lookup based on a seller ID. It returns store sales, revenue, followers, ratings, reviews, delivery, response, products, and creator-promotion data.

In plain words
What is it for?
Evaluating TikTok Shop sellers, comparing store performance, and researching how actively a shop promotes its products.
Why use it?
It gathers many seller performance measures in one place instead of requiring separate checks.

Skill for Claude CodeCodex

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

Good fit Evaluating TikTok Shop sellers, comparing store performance, and researching how actively a shop promotes its products.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-tiktok-seller-detail
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-tiktok-seller-detail
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.tiktok-seller-detail

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-tiktok-seller-detail"><img src="https://agentmods.dev/badge/skills/nexscope-ai/nexscope-ecommerce-skills/ecommerce-tiktok-seller-detail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 183 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,288 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 $0.00183 $0.02288
Opus 5.5 $0.00073 $0.00915
Sonnet 5.5 $0.00037 $0.00458
Haiku 4.5 $0.00018 $0.00229

Measured 14d ago against content hash 7256b4af709e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ecommerce.tiktok-seller-detail 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/tiktok_seller_detail.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-tiktok-seller-detail/SKILL.md · 143 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 · +1 tokens per session 7256b4af709e
  2. 1mo ago Changed · +4 lines 643d77c23f95
  3. 1mo ago First seen · 139 lines · 182 tokens per session scan A 5353b4ca064c

Subscribe to this mod's changes

ecommerce.tiktok-seller-detail is a skill published in the GitHub repository nexscope-ai/nexscope-ecommerce-skills (99 stars, last pushed 9d ago), with no licence file. It adds 183 tokens to every session and 2,288 once invoked, about $0.0007 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 2026-09-03.

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