Agent skill

Linkfox Echotik Batch Video Detail

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

批量查询TikTok视频详情数据,包括视频描述、播放量(总量及近1天/7天/30天增量)、点赞(总量及增量)、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息(ID/账号/头像)、是否带货/投流/AI视频、关联商品与类目,支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频…

MITAuto-check passed

Install Linkfox Echotik Batch Video Detail

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-batch-video-detail -a claude-code

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

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-batch-video-detail --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-batch-video-detail .claude/skills/linkfox-echotik-batch-video-detail && 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-batch-video-detail
GitHub stars
107
Token cost
~2.3k tokens
SKILL.md length
908 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

批量查询TikTok视频详情数据,包括视频描述、播放量(总量及近1天/7天/30天增量)、点赞(总量及增量)、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息(ID/账号/头像)、是否带货/投流/AI视频、关联商品与类目,支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频…

  • Works in 9 steps: Present a comparison table: Show one row… → Link to original: When officialUrl is… → Cover image: If coverUrl 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; reaches tiktok.com; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Echotik Batch Video Detail is an agent skill from linkfox-ai/linkfox-skills. 批量查询TikTok视频详情数据,包括视频描述、播放量(总量及近1天/7天/30天增量)、点赞(总量及增量)、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息(ID/账号/头像)、是否带货/投流/AI视频、关联商品与类目,支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频销量详情、TikTok视频数据分析、批量获取TikTok视频信息、EchoTik视频详情、TikTok video detail, batch video lookup, TikTok video analytics detail, TikTok video views detail, TikTok video sales detail时触发此技能。即使用户未明确提及"EchoTik",只要其需求涉及根据视频ID或视频URL批量获取TikTok视频的详细播放与营销数据,也应触发此技能。

Its SKILL.md is about 2.3k 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_batch_video_detail.py`).

It works with TikTok. The licence is MIT.

Example prompts

  • “EchoTik”
  • “/linkfox-echotik-batch-video-detail”

Requirements

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

Workflow steps

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

  1. Present a comparison table: Show one row per video with video description (truncated if long), views, likes, comments, shares, video…
  2. Link to original: When officialUrl is available, provide it so users can view the video on TikTok
  3. Cover image: If coverUrl is present, mention that video thumbnails are available
  4. Duration formatting: Convert duration (seconds) to a readable format (e.g. "2:45" for 165 seconds)
  5. Multi-period metrics: When relevant, surface the 1d/7d/30d views/likes breakdowns alongside the lifetime totals
  6. Estimation notice: Video sales and GMV are estimated values — remind users these are approximations
  7. Flag badges: Render salesFlagText (带货), isAdText (投流), and createdByAiText (AI) so users can scan video types at a glance
  8. Missing video handling: If a requested video returns no record, list which IDs/URLs had no data so the user can verify them
  9. Result count: Always inform the user of total records returned

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

    Hosts in commands or code, which the agent is likely to contact:

    • tiktok.com

    Also links to:

    • 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 Batch Video Detail loads about 2.3k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 908 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.5k

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). 908 words, ~2,320 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-echotik-batch-video-detail/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-echotik-batch-video-detail
description
批量查询TikTok视频详情数据,包括视频描述、播放量(总量及近1天/7天/30天增量)、点赞(总量及增量)、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息(ID/账号/头像)、是否带货/投流/AI视频、关联商品与类目,支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频销量详情、TikTok视频数据分析、批量获取TikTok视频信息、EchoTik视频详情、TikTok video detail, batch video lookup, TikTok video analytics detail, TikTok video views detail, TikTok video sales detail时触发此技能。即使用户未明确提及"EchoTik",只要其需求涉及根据视频ID或视频URL批量获取TikTok视频的详细播放与营销数据,也应触发此技能。

EchoTik TikTok Batch Video Detail

This skill batch-fetches detailed performance metrics for TikTok videos you already have IDs or URLs for, helping sellers and marketers compare videos side-by-side using views, likes, comments, shares, video sales/GMV, and creator data.

Core Concepts

This tool retrieves full detail metrics for a batch of TikTok videos in a single call. You identify videos by ID and/or by TikTok video URL; the backend extracts the videoId from each URL and merges it with any IDs you supplied, then returns per-video analytics.

Input options (at least one is needed; both can be combined):

  • videoIds — array of TikTok video IDs (up to 1000)
  • videoUrls — array of TikTok video URLs (e.g. https://www.tiktok.com/@<unique_id>/video/<videoId> or https://www.tiktok.com/video/<videoId>); the trailing videoId is extracted from each URL and merged with videoIds (up to 1000)

Multi-period metrics: views and likes are each reported as a cumulative total plus 1d / 7d / 30d increments, so you can read both lifetime performance and recent momentum.

Engagement & attribution: comments, shares, favorites, estimated video sales (units), and estimated video sales GMV (amount) are returned per video.

Flag fields (salesFlagText / isAdText / createdByAiText): human-readable 是/否 (AI: 是/否/未知) labels for selling / ad / AI-generated videos.

vs. search: This is detail lookup for known videos (you already have IDs/URLs). To discover videos by region/filter (no IDs needed), use linkfox-echotik-list-video.

Data Fields

FieldTypeDescription
videoIdstring视频ID
videoDescstring视频描述/文案
officialUrlstringTikTok官方视频地址
coverUrlstring视频封面URL
durationinteger视频时长(秒)
widthstring视频宽度(px)
heightstring视频高度(px)
ratiostring视频清晰度(如 540p/720p)
dataSizestring视频文件大小
createDatestring视频发布日期(yyyy-MM-dd HH:mm:ss)
userIdstring达人ID
uniqueIdstringTikTok账号ID(unique_id)
avatarstring达人头像URL
totalViewsCntinteger总播放量
totalViews1dCntinteger近1天播放量增量
totalViews7dCntinteger近7天播放量增量
totalViews30dCntinteger近30天播放量增量
totalDiggCntinteger总点赞数
totalDigg1dCntinteger近1天点赞增量
totalDigg7dCntinteger近7天点赞增量
totalDigg30dCntinteger近30天点赞增量
totalCommentsCntinteger总评论数
totalSharesCntinteger总分享数
totalFavoritesCntinteger总收藏数
totalVideoSaleCntinteger视频销量(件,估算)
totalVideoSaleGmvAmtinteger视频销售GMV(估算金额)
salesFlagTextstring是否带货视频(是/否)
isAdTextstring是否投流视频(是/否)
createdByAiTextstring是否AI视频(是/否/未知)
productCategoryListstring关联商品分类(JSON字符串,空为[])
videoProductsstring视频带货商品(JSON字符串,空为[])
regionstring视频所在区域代码
sourceTypestring数据来源(如 Tiktok)
sourceToolstring来源工具(如 EchoTik-视频列表)

Parameter Guide

ParameterTypeRequiredDefaultDescription
videoIdsarray<string>No*-TikTok视频ID列表,最多1000个
videoUrlsarray<string>No*-TikTok视频URL列表(形如 https://www.tiktok.com/@<unique_id>/video/<videoId> 或 https://www.tiktok.com/video/<videoId>);从每个URL提取末尾videoId并合并到videoIds,与videoIds不互斥,最多1000个

* 至少提供 videoIds / videoUrls 中的一个;两者可同时传入,服务端合并去重后查询。

调用方式

  • API 端点:POST /echotik/batchVideoDetail(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/echotik_batch_video_detail.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-batch-video-detail-<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. Batch lookup by video IDs

json
{
  "videoIds": ["7030893014180531462", "6768504823336815877", "7425631540178160939"]
}

2. Batch lookup by video URLs

json
{
  "videoUrls": [
    "https://www.tiktok.com/@sageandintuition/video/7030893014180531462",
    "https://www.tiktok.com/@<unique_id>/video/6768504823336815877"
  ]
}

3. Mixed IDs and URLs (merged server-side)

json
{
  "videoIds": ["7030893014180531462"],
  "videoUrls": ["https://www.tiktok.com/@<unique_id>/video/6768504823336815877"]
}

Display Rules

  1. Present a comparison table: Show one row per video with video description (truncated if long), views, likes, comments, shares, video sales, video GMV, publish date, and creator
  2. Link to original: When officialUrl is available, provide it so users can view the video on TikTok
  3. Cover image: If coverUrl is present, mention that video thumbnails are available
  4. Duration formatting: Convert duration (seconds) to a readable format (e.g. "2:45" for 165 seconds)
  5. Multi-period metrics: When relevant, surface the 1d/7d/30d views/likes breakdowns alongside the lifetime totals
  6. Estimation notice: Video sales and GMV are estimated values — remind users these are approximations
  7. Flag badges: Render salesFlagText (带货), isAdText (投流), and createdByAiText (AI) so users can scan video types at a glance
  8. Missing video handling: If a requested video returns no record, list which IDs/URLs had no data so the user can verify them
  9. Result count: Always inform the user of total records returned
Show full SKILL.md (317 more words)Show less

Important Limitations

  • Batch cap: Up to 1000 videos per request
  • Lookup only: This tool does not search/discover videos by region or filter — it resolves specific IDs/URLs you already have. To discover videos, use linkfox-echotik-list-video
  • URL extraction: For videoUrls, only the trailing videoId is extracted — ensure each URL ends with the video ID
  • Estimated data: Sales, GMV, and attribution figures are analytics estimates, not exact platform figures
  • JSON-string fields: productCategoryList / videoProducts are returned as JSON strings (empty when none, e.g. []) — parse before display if needed
  • No secondary processing: Results are live queries, not stored in a database; secondary SQL/data processing is not available

User Expression & Scenario Quick Reference

Applicable Scenarios
User SaysScenario
"查询这些TikTok视频的详情"Batch detail by video IDs
"拉这些TikTok视频链接的播放量/销量"Batch detail by video URLs
"批量分析这些TikTok视频的表现"Batch lookup, surface metrics
"这些TikTok视频哪个播放量/销量最高"Batch lookup, compare columns
"这些TikTok视频是不是带货/投流/AI"Batch lookup, read flag fields
Not Applicable Scenarios
  • Discovering videos by region/filter (use linkfox-echotik-list-video)
  • TikTok product detail lookup (use linkfox-echotik-batch-product-detail)
  • Resolving a TikTok video download link (use linkfox-echotik-get-video-download-url)
  • TikTok creator/seller (store) analytics (use linkfox-echotik-seller-detail / linkfox-echotik-list-seller)
  • Non-TikTok platform video data
Boundary Judgment

When users say "分析这些TikTok视频", check whether they already have specific video IDs or TikTok video URLs (this skill) or want to find videos by region/filter (the list-video skill). If they paste a list of IDs/URLs and want views/likes/sales/GMV details, this skill applies. If they ask "找热门TikTok视频" or "按区域搜视频", it does not — use linkfox-echotik-list-video to discover first.

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-batch-video-detail of linkfox-ai/linkfox-skills.

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

Open the folder on GitHubat commit 38fef04

Compare with similar skills

Linkfox Echotik Batch Video Detail 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 Batch Video Detail compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Echotik Batch Video Detail this skilllinkfox-ai/linkfox-skills107—~2.3kAutomated 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 Batch Video Detail

What does Linkfox Echotik Batch Video Detail do?

批量查询TikTok视频详情数据,包括视频描述、播放量(总量及近1天/7天/30天增量)、点赞(总量及增量)、评论、分享、收藏、视频销量与GMV、视频时长与分辨率、发布日期、达人信息(ID/账号/头像)、是否带货/投流/AI视频、关联商品与类目,支持通过视频ID或TikTok视频URL批量获取。当用户提到TikTok视频详情、批量查询TikTok视频、TikTok视频播放量详情、TikTok视频…. Linkfox Echotik Batch Video Detail is an agent skill from linkfox-ai/linkfox-skills.

How do I install Linkfox Echotik Batch Video Detail in Claude Code?

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

How do I install Linkfox Echotik Batch Video Detail in Codex?

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

Can I use Linkfox Echotik Batch Video Detail 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-batch-video-detail -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-batch-video-detail, .gemini/skills/linkfox-echotik-batch-video-detail, .github/skills/linkfox-echotik-batch-video-detail and .opencode/skills/linkfox-echotik-batch-video-detail in your project.

What does Linkfox Echotik Batch Video Detail need to run?

Going by SKILL.md and its folder, Linkfox Echotik Batch Video Detail 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 Batch Video Detail access the network?

SKILL.md names 2 domains. In commands or code: tiktok.com; the agent is likely to contact it when it follows the instructions. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Echotik Batch Video Detail 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 Batch Video Detail use?

Linkfox Echotik Batch Video Detail 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 Batch Video Detail use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Echotik Batch Video Detail?

Skills that share tags, products or a category with Linkfox Echotik Batch Video Detail: 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 Batch Video Detail?

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.