Agent skill

Linkfox Echotik List Seller

by linkfox-ai in linkfox-ai/linkfox-skills

搜索和分析TikTok Shop店铺(卖家)数据,按区域、类目、近30日GMV、销售趋势、上架时间、本土/跨境店铺等条件筛选店铺,返回销量、销售额(GMV)、粉丝数、评分、评价数、好评率、送达率、回复率、带货达人数、带货视频数、直播数、在店商品数等指标,覆盖16个TikTok Shop站点。当用户提到TikTok店铺搜索、TikTok卖家分析、TikTok…

MITAuto-check passed

Install Linkfox Echotik List Seller

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-seller -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-seller --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-echotik-list-seller .claude/skills/linkfox-echotik-list-seller && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkfox-echotik-list-seller
GitHub stars
107
Token cost
~2.5k tokens
SKILL.md length
994 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

搜索和分析TikTok Shop店铺(卖家)数据,按区域、类目、近30日GMV、销售趋势、上架时间、本土/跨境店铺等条件筛选店铺,返回销量、销售额(GMV)、粉丝数、评分、评价数、好评率、送达率、回复率、带货达人数、带货视频数、直播数、在店商品数等指标,覆盖16个TikTok Shop站点。当用户提到TikTok店铺搜索、TikTok卖家分析、TikTok…

  • Works in 6 steps: Present data clearly: Show results in a… → GMV & sales granularity: When relevant,… → Store link: When sellerLink is present,… → …
  • SKILL.md covers Core Concepts, Data Fields, Parameter Guide and 调用方式, plus 6 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Echotik List Seller is an agent skill from linkfox-ai/linkfox-skills. 搜索和分析TikTok Shop店铺(卖家)数据,按区域、类目、近30日GMV、销售趋势、上架时间、本土/跨境店铺等条件筛选店铺,返回销量、销售额(GMV)、粉丝数、评分、评价数、好评率、送达率、回复率、带货达人数、带货视频数、直播数、在店商品数等指标,覆盖16个TikTok Shop站点。当用户提到TikTok店铺搜索、TikTok卖家分析、TikTok Shop店铺排行、TikTok店铺销量、TikTok店铺GMV、TikTok带货店铺、EchoTik店铺数据、TikTok Shop seller search, TikTok shop list, TikTok seller analytics, EchoTik seller, TikTok store data时触发此技能。即使用户未明确提及"EchoTik"或"TikTok",只要其需求涉及在TikTok Shop上按条件筛选或分析店铺/卖家表现指标,也应触发此技能。

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/echotik_list_seller.py`).

It works with TikTok. The licence is MIT.

Example prompts

  • “EchoTik”
  • “TikTok”
  • “/linkfox-echotik-list-seller”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Present data clearly: Show results in a table with key columns — store name, region, total sales, 30-day GMV, followers, rating, review…
  2. GMV & sales granularity: When relevant, show 30-day GMV and total sales; mention multi-period breakdowns (1d/7d/30d/90d) are available in…
  3. Store link: When sellerLink is present, surface it so the user can open the store
  4. Store attributes: Show fromFlagText (local/cross-border), salesFlagText (video/livestream), and salesTrendFlagText (trend) to help…
  5. Result count: Always inform the user of total records and the current page; suggest pagination or tighter filters when the result set is…
  6. No secondary processing: Results are live queries, not stored in a database; secondary SQL/data processing is not available

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Echotik List Seller loads about 2.5k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 994 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 994 words, ~2,480 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-echotik-list-seller/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-echotik-list-seller
description
搜索和分析TikTok Shop店铺(卖家)数据,按区域、类目、近30日GMV、销售趋势、上架时间、本土/跨境店铺等条件筛选店铺,返回销量、销售额(GMV)、粉丝数、评分、评价数、好评率、送达率、回复率、带货达人数、带货视频数、直播数、在店商品数等指标,覆盖16个TikTok Shop站点。当用户提到TikTok店铺搜索、TikTok卖家分析、TikTok Shop店铺排行、TikTok店铺销量、TikTok店铺GMV、TikTok带货店铺、EchoTik店铺数据、TikTok Shop seller search, TikTok shop list, TikTok seller analytics, EchoTik seller, TikTok store data时触发此技能。即使用户未明确提及"EchoTik"或"TikTok",只要其需求涉及在TikTok Shop上按条件筛选或分析店铺/卖家表现指标,也应触发此技能。

This skill searches and analyzes TikTok Shop seller (store) data, helping cross-border sellers and marketers discover top-performing stores, benchmark competitors, and evaluate store-level performance across TikTok marketplaces.

Core Concepts

EchoTik is a TikTok Shop analytics platform. This tool lists TikTok Shop stores (sellers) with rich filtering, returning store metrics: total sales, GMV (1d/7d/30d/90d), followers, rating, reviews, positive-feedback rate, delivery rate, response rate, number of promoting influencers, videos, livestreams, and product counts.

Listing date: firstCrawlDt / minFirstCrawlDt / maxFirstCrawlDt use a compact integer format YYYYMMDD (e.g., 20240101 for January 1, 2024).

Pagination quirk: pageSize must be a multiple of 10 (max 100). The official upstream API caps a single page at 10; this tool internally pulls multiple pages of 10 and merges them, so pageSize=50 returns up to 50 merged sellers.

Data Fields

FieldDescription
sellerIdStore ID
sellerNameStore name
sellerLinkStore link
coverUrlStore cover image URL
regionMarketplace code
totalSaleCntTotal sales volume
totalSale1dCnt / 7dCnt / 30dCnt / 90dCntSales volume (1d/7d/30d/90d, incremental)
totalSaleGmvAmtTotal GMV (revenue)
totalSaleGmv1dAmt / 7dAmt / 30dAmt / 90dAmtGMV (1d/7d/30d/90d, incremental)
followersCountFollower count
ratingStore rating
reviewCountReview count
positiveFeedbackRatePositive feedback rate
responseRateResponse rate
deliveryRateDelivery rate
totalProductCntHistorical product count (incl. delisted)
totalCrawlProductCntCurrent in-store product count
spuAvgPriceAvg SKU price in store
minPrice / maxPriceMin / max price
totalIflCntNumber of promoting influencers
totalVideoCntNumber of promo videos
totalLiveCntNumber of livestreams
salesFlagTextMain sales channel (video/livestream)
salesTrendFlagTextSales trend (flat/rising/falling)
shopIdentityLabelStore identity label
shopTypeTextBrand store flag
fromFlagTextLocal/cross-border flag
productCategoryListProduct categories
mostProductCategoryListTOP1 product category
firstCrawlDtEstimated listing time
userIdInfluencer UID

Parameter Guide

Required & Region
ParameterTypeRequiredDefaultDescription
regionstringYes-Marketplace code. See supported list below
Category Filters
ParameterTypeDescription
categoryIdstringLevel-1 store category ID
categoryL2IdstringLevel-2 store category ID
categoryL3IdstringLevel-3 store category ID
GMV & Sales Trend
ParameterTypeDescription
minTotalSaleGmv30dAmt / maxTotalSaleGmv30dAmtnumber30-day GMV range
salesTrendFlaginteger7-day sales trend: 0=flat, 1=rising, 2=falling
Seller Type & Sales Channel
ParameterTypeDescription
fromFlagintegerStore origin: 1=local store, 2=cross-border store
salesFlagintegerMain sales channel: 1=video, 2=livestream
Listing Date
ParameterTypeDescription
minFirstCrawlDt / maxFirstCrawlDtintegerEstimated listing date range (YYYYMMDD, e.g. 20240101)
Sorting & Pagination
ParameterTypeDefaultDescription
sellerSortFieldinteger2Sort field: 1=total sales, 2=total GMV, 3=avg SKU price
sortTypeinteger1Sort order: 0=ascending, 1=descending
pageNuminteger1Page number (starts at 1)
pageSizeinteger50Page size — must be a multiple of 10, max 100
Supported Marketplaces

US (United States), ID (Indonesia), TH (Thailand), PH (Philippines), MY (Malaysia), VN (Vietnam), GB (United Kingdom), MX (Mexico), SG (Singapore), SA (Saudi Arabia), BR (Brazil), ES (Spain), JP (Japan), DE (Germany), IT (Italy), FR (France)

When the user doesn't specify a marketplace, ask or default to US.

调用方式

  • API 端点:POST /echotik/listSeller(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/echotik_list_seller.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-echotik-list-seller-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本)
  • 加 --inline 强制全量打印到 stdout(同样落盘)

读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置API Key:环境变量未配置 LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。
  • 响应401或402状态码
  • 响应提示算力或余额不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。

Usage Examples

1. Top US stores by total GMV

json
{
  "region": "US",
  "sellerSortField": 2,
  "sortType": 1,
  "pageSize": 20,
  "pageNum": 1
}

2. Rising cross-border stores in Southeast Asia

json
{
  "region": "ID",
  "fromFlag": 2,
  "salesTrendFlag": 1,
  "sellerSortField": 2,
  "sortType": 1
}

3. High-GMV livestream-driven stores

json
{
  "region": "US",
  "salesFlag": 2,
  "minTotalSaleGmv30dAmt": 100000,
  "sellerSortField": 2,
  "sortType": 1
}

4. Recently listed stores

json
{
  "region": "GB",
  "minFirstCrawlDt": 20250101,
  "sellerSortField": 1,
  "sortType": 1
}
Show full SKILL.md (449 more words)Show less

Display Rules

  1. Present data clearly: Show results in a table with key columns — store name, region, total sales, 30-day GMV, followers, rating, review count, and number of promoting influencers
  2. GMV & sales granularity: When relevant, show 30-day GMV and total sales; mention multi-period breakdowns (1d/7d/30d/90d) are available in the saved JSON
  3. Store link: When sellerLink is present, surface it so the user can open the store
  4. Store attributes: Show fromFlagText (local/cross-border), salesFlagText (video/livestream), and salesTrendFlagText (trend) to help benchmark competitors
  5. Result count: Always inform the user of total records and the current page; suggest pagination or tighter filters when the result set is large
  6. No secondary processing: Results are live queries, not stored in a database; secondary SQL/data processing is not available

Important Limitations

  1. Region required: region is mandatory; no default is applied by the API.
  2. pageSize rule: Must be a multiple of 10 (max 100). Other values may be rejected or adjusted.
  3. Category IDs: categoryId / categoryL2Id / categoryL3Id are internal IDs, not human-readable names — obtain them from prior results or the category taxonomy.
  4. Listing date format: minFirstCrawlDt / maxFirstCrawlDt use YYYYMMDD integers (e.g. 20240101).
  5. Data real-time nature: Results are live queries, not stored in a database; secondary SQL/data processing is not available.
  6. Single-store detail: For one store's full profile, use the store-detail skill with the sellerId returned here.

User Expression & Scenario Quick Reference

Applicable — TikTok Shop store/seller discovery and benchmarking:

User SaysScenario
"TikTok店铺排行" / "TikTok top stores"List stores sorted by GMV/sales
"找TikTok带货店铺"Filter by sales channel (video/livestream)
"TikTok本土店铺/跨境店铺分析"Filter by fromFlag
"近期新开的TikTok店铺"Filter by listing date
"TikTok销量上升的店铺"Filter by salesTrendFlag=rising
"东南亚TikTok店铺"Region-specific store listing

Not applicable — Needs beyond store listing:

  • Single product search or product rankings (use EchoTik product search/rank skills)
  • TikTok creator/influencer analytics (follower counts, engagement of creators)
  • TikTok video performance analytics (views, likes on specific videos)
  • Amazon, Shopee, or other non-TikTok platform data
  • Store-level operations: order/logistics/ads management

Boundary judgment: When users say "找店铺" or "竞品店铺", if the intent is to list and filter TikTok Shop stores by sales, GMV, or store attributes, this skill applies. If they want a single store's deep profile, use the store-detail skill with a known sellerId.

算力消耗规则

消耗 5 算力。

用户会因算力消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对算力消耗量预期不足时,务必提醒用户,由用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.

© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-echotik-list-seller of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/echotik_list_seller.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Compare with similar skills

Linkfox Echotik List Seller next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkfox Echotik List Seller compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Echotik List Seller this skilllinkfox-ai/linkfox-skills107—~2.5kAutomated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Last30days CnJesseovo/last30days-skill-cn1.9k—~2.4kAutomated safety check: NotesMIT

Similar skills

  • Social

    coreyhaines31/marketingskills

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.

    54k GitHub starsUsed in 4 repos~4.5k tokens
    Writing & ContentAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated yesterday
    Research & ScienceAuto-check: notes
  • Social Content

    freekmurze/dotfiles

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.

    1k GitHub starsUsed in 23 repos~2.1k tokens
    Writing & ContentAuto-check passed
  • Video Transcribe

    wendy7756/AI-Video-Transcriber

    Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.

    3.3k GitHub stars~937 tokensUpdated 26 days ago
    Media & CreativeAuto-check: notes
  • Last30days Cn

    Jesseovo/last30days-skill-cn

    Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted…

    1.9k GitHub stars~2.4k tokensUpdated 4 days ago
    Productivity & AutomationAuto-check: notes
  • Postiz

    gitroomhq/postiz-agent

    Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest…

    508 GitHub starsUsed in 2 repos~7.9k tokens
    Writing & ContentAuto-check passed

More from linkfox-ai/linkfox-skills

All 177 skills in this repo
  • Linkfox 1688 Search By Image

    linkfox-ai/linkfox-skills

    1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…

    107 GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed
  • Linkfox Aba Intelligent Query

    linkfox-ai/linkfox-skills

    亚马逊ABA(品牌分析)搜索词数据的查询与分析,涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…

    107 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Linkfox Amazon Alexa Search

    linkfox-ai/linkfox-skills

    通过亚马逊前台的 Alexa 购物助手发起自然语言问答,获取与问题相关的导购回答、推荐商品分组、ASIN 列表,以及可继续追问的问题。每次调用仅支持 1 条 prompt,如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • 亚马逊反向选品:基于历史商业洞察报告沉淀的指标数据池,按 30+ 项商业维度(市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等)反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • Linkfox Amazon Product Detail

    linkfox-ai/linkfox-skills

    通过ASIN获取亚马逊商品详细信息,包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等;可在取得原始HTML时尝试提取Item Highlights(商品亮点)。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Linkfox Amazon Reviews List

    linkfox-ai/linkfox-skills

    按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Works with

Questions about Linkfox Echotik List Seller

What does Linkfox Echotik List Seller do?

搜索和分析TikTok Shop店铺(卖家)数据,按区域、类目、近30日GMV、销售趋势、上架时间、本土/跨境店铺等条件筛选店铺,返回销量、销售额(GMV)、粉丝数、评分、评价数、好评率、送达率、回复率、带货达人数、带货视频数、直播数、在店商品数等指标,覆盖16个TikTok Shop站点。当用户提到TikTok店铺搜索、TikTok卖家分析、TikTok…. Linkfox Echotik List Seller is an agent skill from linkfox-ai/linkfox-skills.

How do I install Linkfox Echotik List Seller in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-seller -a claude-code`. Or copy the skill folder (skills/linkfox-echotik-list-seller in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-echotik-list-seller in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Echotik List Seller in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-seller -a codex`. Or copy the skill folder (skills/linkfox-echotik-list-seller in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-echotik-list-seller in your project. Codex loads it when a task matches its description.

Can I use Linkfox Echotik List Seller in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-seller -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-echotik-list-seller, .gemini/skills/linkfox-echotik-list-seller, .github/skills/linkfox-echotik-list-seller and .opencode/skills/linkfox-echotik-list-seller in your project.

What does Linkfox Echotik List Seller need to run?

Going by SKILL.md and its folder, Linkfox Echotik List Seller needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Echotik List Seller access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Echotik List Seller safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkfox Echotik List Seller use?

Linkfox Echotik List Seller is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Echotik List Seller use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Echotik List Seller?

Skills that share tags, products or a category with Linkfox Echotik List Seller: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Echotik List Seller?

linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.

Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.