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.
搜索和分析TikTok视频数据,按区域、达人、商品、类目、播放量、时长、发布时间、是否带货/投流/AI视频等条件筛选视频,返回播放量、点赞、评论、分享、收藏、视频销量与GMV等指标,覆盖16个TikTok Shop站点。当用户提到TikTok视频搜索、TikTok视频列表、TikTok带货视频、TikTok视频数据、TikTok视频播放量、TikTok视频销量、TikTok视频分析、EchoTi…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-video .claude/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.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/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .claude/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-echotik-list-video .agents/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .agents/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-echotik-list-video .cursor/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .cursor/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-echotik-list-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-echotik-list-video .gemini/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .gemini/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-echotik-list-video .github/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .github/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-list-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-echotik-list-video .opencode/skills/linkfox-echotik-list-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-echotik-list-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-list-video into .opencode/skills/linkfox-echotik-list-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-list-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkfox-echotik-list-video搜索和分析TikTok视频数据,按区域、达人、商品、类目、播放量、时长、发布时间、是否带货/投流/AI视频等条件筛选视频,返回播放量、点赞、评论、分享、收藏、视频销量与GMV等指标,覆盖16个TikTok Shop站点。当用户提到TikTok视频搜索、TikTok视频列表、TikTok带货视频、TikTok视频数据、TikTok视频播放量、TikTok视频销量、TikTok视频分析、EchoTi…
Linkfox Echotik List Video is an agent skill from linkfox-ai/linkfox-skills. 搜索和分析TikTok视频数据,按区域、达人、商品、类目、播放量、时长、发布时间、是否带货/投流/AI视频等条件筛选视频,返回播放量、点赞、评论、分享、收藏、视频销量与GMV等指标,覆盖16个TikTok Shop站点。当用户提到TikTok视频搜索、TikTok视频列表、TikTok带货视频、TikTok视频数据、TikTok视频播放量、TikTok视频销量、TikTok视频分析、EchoTik视频、TikTok video search, TikTok video list, TikTok video analytics, TikTok promotional videos, TikTok video views, TikTok video engagement时触发此技能。即使用户未明确提及"EchoTik"或"TikTok",只要其需求涉及按条件搜索或分析TikTok视频表现指标,也应触发此技能。
Its SKILL.md is about 2.6k 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_video.py`).
It works with TikTok. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Echotik List Video loads about 2.6k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 1,072 words of instructions outside code blocks.
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.
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.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 1,072 words, ~2,629 tokens.
.claude/skills/linkfox-echotik-list-video/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill searches and analyzes TikTok video data, helping cross-border sellers and marketers discover top-performing videos, benchmark content strategies, and evaluate video-level engagement and sales attribution across TikTok marketplaces.
EchoTik is a TikTok Shop analytics platform. This tool lists TikTok videos with rich filtering — by region, creator, product, category, views, duration, publish time, and ad/AI/selling flags — and returns engagement metrics (views, likes, comments, shares, favorites), estimated sales attribution (video sales count and GMV), and video metadata (duration, resolution, cover, publish date).
Required input: region is mandatory. Optional filters narrow by creator (userId), product (productId), category (productCategoryId), views range, duration range, publish-time range, and video type (ad / AI / selling).
Sort fields: videos can be sorted by likes (1), publish time (2), or views (3, default).
Pagination: pageSize must be a multiple of 10, max 100. The backend fetches in batches of 10 and merges results.
Related skill: This tool lists videos by region/filters (no product required). To get videos associated with one specific product, use linkfox-echotik-product-video with a productId instead.
| Field | Description |
|---|---|
| videoId | Video ID |
| videoDesc | Video description / caption |
| officialUrl | TikTok official video URL |
| coverUrl | Video cover image URL |
| duration | Video duration (seconds) |
| width / height | Video dimensions in pixels (e.g. 576×1090) |
| ratio | Video resolution label (e.g. 540p/720p) |
| dataSize | Video file size |
| createDate | Publish date |
| userId / uniqueId / avatar | Creator ID / TikTok unique_id / creator avatar |
| totalViewsCnt | Total views (1d/7d/30d breakdown: totalViews1dCnt / 7dCnt / 30dCnt) |
| totalDiggCnt | Total likes (1d/7d/30d breakdown: totalDigg1dCnt / 7dCnt / 30dCnt) |
| totalCommentsCnt | Total comments |
| totalSharesCnt | Total shares |
| totalFavoritesCnt | Total favorites |
| totalVideoSaleCnt | Video sales (units) |
| totalVideoSaleGmvAmt | Video sales GMV (amount) |
| salesFlagText | Selling-video flag (是/否) |
| isAdText | Ad-video flag (是/否) |
| createdByAiText | AI-video flag (是/否/未知) |
| productCategoryList | Product categories |
| videoProducts | Related products |
| region | Marketplace code |
| sourceType / sourceTool | Source type / source tool |
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| region | string | Yes | - | Marketplace code. See supported list below |
| Parameter | Type | Description |
|---|---|---|
| userId | string | Filter by creator (influencer) ID |
| productId | string | Filter by related product ID |
| productCategoryId | string | Filter by related product category ID |
| Parameter | Type | Description |
|---|---|---|
| minTotalViewsCnt / maxTotalViewsCnt | integer | Total-views range (min / max) |
| minDuration / maxDuration | integer | Duration range in seconds (min / max) |
| minCreateTime / maxCreateTime | integer | Publish-time range, Unix timestamp in seconds (min / max) |
| Parameter | Type | Description |
|---|---|---|
| salesFlag | integer | Selling video: 0=non-selling, 1=selling (带车) |
| isAd | integer | Ad video: 0=non-ad, 1=ad (投流) |
| createdByAi | string | AI video: "true"=AI, "false"=non-AI (string, not boolean) |
| Parameter | Type | Default | Description |
|---|---|---|---|
| videoSortField | integer | 3 | Sort field: 1=likes (total_digg_cnt), 2=publish time (create_time), 3=views (total_views_cnt) |
| sortType | integer | 1 | Sort order: 0=ascending, 1=descending |
| pageNum | integer | 1 | Page number (starts at 1) |
| pageSize | integer | 50 | Page size — must be a multiple of 10, max 100 |
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.
POST /echotik/listVideo(完整参数/响应/错误码见 references/api.md)python scripts/echotik_list_video.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-echotik-list-video-<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)total/costToken、最大列表字段的长度 + 前 3 条样本)--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。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。1. Top US videos by views
{
"region": "US",
"videoSortField": 3,
"sortType": 1,
"pageSize": 20,
"pageNum": 1
}2. Highest-converting selling videos (by video sales)
{
"region": "US",
"salesFlag": 1,
"videoSortField": 3,
"sortType": 1,
"pageSize": 20
}3. Videos by a specific creator
{
"region": "US",
"userId": "7234567890123456789",
"videoSortField": 1,
"sortType": 1
}4. High-view videos in a time range (sorted by likes)
{
"region": "GB",
"minTotalViewsCnt": 100000,
"minCreateTime": 1717200000,
"maxCreateTime": 1719792000,
"videoSortField": 1,
"sortType": 1
}5. Recent AI videos sorted by publish date
{
"region": "US",
"createdByAi": "true",
"videoSortField": 2,
"sortType": 1,
"pageSize": 50
}officialUrl is available, provide it so users can view the video on TikTokcoverUrl is present, mention it so the user knows video thumbnails are availableduration (seconds) to a readable format (e.g., "1:30" for 90 seconds)total records and the current page; suggest pagination or tighter filters when the result set is largeregion is mandatory; no default is applied by the API."true" / "false" (not boolean) — the value is validated against ^(true|false)$.minCreateTime / maxCreateTime are Unix timestamps in seconds.productId / productCategoryId / userId are internal IDs — obtain them from prior results.productId), prefer linkfox-echotik-product-video; here productId is only a filter within a region-scoped video listing.Applicable — TikTok video discovery and performance analysis:
| User Says | Scenario |
|---|---|
| "TikTok热门视频" / "TikTok top videos" | List videos sorted by views (field 3) |
| "TikTok带货视频排行" | Filter salesFlag=1, sort by views/sales |
| "某个达人的TikTok视频" | Filter by userId |
| "TikTok投流视频" / "TikTok广告视频" | Filter isAd=1 |
| "TikTok AI视频" | Filter createdByAi="true" |
| "近期高播放TikTok视频" | Views range + time range |
| "哪个TikTok视频GMV最高" | Sort by views, inspect GMV column |
Not applicable — Needs beyond region-scoped video listing:
productId (use linkfox-echotik-product-video)linkfox-echotik-get-video-download-url)Boundary judgment: When users ask about "TikTok视频", determine whether they want a region-scoped video listing with filters (this skill) or videos tied to one known product (linkfox-echotik-product-video). If they mention a region or filters like "热门/带货/投流视频" without a specific product, this skill applies.
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:
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
SKILL.md and 4 other files (scripts, references) in skills/linkfox-echotik-list-video of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Echotik List Video 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Echotik List Video this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
coreyhaines31/marketingskills
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linkfox-ai/linkfox-skills
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…
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…
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…
Works with
搜索和分析TikTok视频数据,按区域、达人、商品、类目、播放量、时长、发布时间、是否带货/投流/AI视频等条件筛选视频,返回播放量、点赞、评论、分享、收藏、视频销量与GMV等指标,覆盖16个TikTok Shop站点。当用户提到TikTok视频搜索、TikTok视频列表、TikTok带货视频、TikTok视频数据、TikTok视频播放量、TikTok视频销量、TikTok视频分析、EchoTi…. Linkfox Echotik List Video is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a claude-code`. Or copy the skill folder (skills/linkfox-echotik-list-video in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-echotik-list-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-list-video -a codex`. Or copy the skill folder (skills/linkfox-echotik-list-video in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-echotik-list-video in your project. Codex loads it when a task matches its description.
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-video -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-video, .gemini/skills/linkfox-echotik-list-video, .github/skills/linkfox-echotik-list-video and .opencode/skills/linkfox-echotik-list-video in your project.
Going by SKILL.md and its folder, Linkfox Echotik List Video 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.
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
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.
Linkfox Echotik List Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k 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.
Skills that share tags, products or a category with Linkfox Echotik List Video: 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.
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.