通过kalodata数据查询TikTok电商商品排行榜并查询指定商品的详细数据，支持按地区、货币、语言与日期范围查看高排名/热销商品，并可用productId获取价格区间、销量、销售额、佣金率、上下架时间及所属店铺。当用户提到TikTok商品榜单、TikTok商品排行、TikTok热销榜、TikTok爆品排行、TikTok选品榜单、kalodata商品榜、TikTok商品详情、TikTok商品资…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-product -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-product --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-kalodata-tiktok-product .claude/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .claude/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-productType 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-kalodata-tiktok-product -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-product --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-kalodata-tiktok-product .agents/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .agents/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-product -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-product --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-kalodata-tiktok-product .cursor/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .cursor/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-product--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-kalodata-tiktok-product -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-kalodata-tiktok-product --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-kalodata-tiktok-product .gemini/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .gemini/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-productInstalls 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-kalodata-tiktok-product -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-kalodata-tiktok-product .github/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .github/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-product -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-kalodata-tiktok-product --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-kalodata-tiktok-product .opencode/skills/linkfox-kalodata-tiktok-product && 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-kalodata-tiktok-product" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-kalodata-tiktok-product into .opencode/skills/linkfox-kalodata-tiktok-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-kalodata-tiktok-product", 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-kalodata-tiktok-product通过kalodata数据查询TikTok电商商品排行榜并查询指定商品的详细数据，支持按地区、货币、语言与日期范围查看高排名/热销商品，并可用productId获取价格区间、销量、销售额、佣金率、上下架时间及所属店铺。当用户提到TikTok商品榜单、TikTok商品排行、TikTok热销榜、TikTok爆品排行、TikTok选品榜单、kalodata商品榜、TikTok商品详情、TikTok商品资…
Linkfox Kalodata Tiktok Product is an agent skill from linkfox-ai/linkfox-skills. 通过kalodata数据查询TikTok电商商品排行榜并查询指定商品的详细数据，支持按地区、货币、语言与日期范围查看高排名/热销商品，并可用productId获取价格区间、销量、销售额、佣金率、上下架时间及所属店铺。当用户提到TikTok商品榜单、TikTok商品排行、TikTok热销榜、TikTok爆品排行、TikTok选品榜单、kalodata商品榜、TikTok商品详情、TikTok商品资料、商品价格、商品销量、TikTok product ranking, TikTok bestseller chart, TikTok top products, kalodata product rank, TikTok product detail, kalodata product detail, product analytics时触发此技能。即使用户未明确提及"kalodata"，只要其需求涉及查看TikTok平台的商品排行榜或某个TikTok商品的详细数据，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 7 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/kalodata_product_detail.py`).
It sits in Data & Analytics, covering Product analytics. It works with TikTok. The licence is MIT.
2 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 3 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 Kalodata Tiktok Product loads about 2.5k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 1,053 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). 1,053 words, ~2,538 tokens.
.claude/skills/linkfox-kalodata-tiktok-product/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.This skill supports a two-step TikTok Shop product workflow via the Kalodata data source:
productId.Use the ranking endpoint when the user wants best-seller rankings, hot products, or product discovery. Use the detail endpoint when the user already has a productId or has selected one product from a ranking result.
The product ranking endpoint returns a paginated leaderboard filtered by region, dateRange, currency, language, and optional sortField. Each product row includes identity, price, sales volume, revenue (split across video, live, and showcase channels), revenue growth rate, commission rate, and launch date. Results are paginated with pageNumber (1-5) and pageSize (5-100).
The product detail endpoint fetches one TikTok Shop product by productId. It returns the product's price range, sales, revenue (with channel split), commission rate, launch date, review count, category hierarchy, owning shop, and associated video/live/creator counts. The productId usually comes from the ranking response field product_id.
Both endpoints may reflect a statistical delay (T+1). See references/api.md for full request and response details.
Ranking rows include:
| Field | Description |
|---|---|
| product_id | Product unique ID; pass this as productId for detail lookup |
| product_name | Product title |
| unit_price | Price per unit (currency follows region, e.g. USD for US) |
| sales_volumn | Units sold (field is spelled volumn) |
| revenue | Total revenue / GMV; equals video + live + showcase revenue |
| video_revenue | Revenue from the video channel |
| live_revenue | Revenue from the live-stream channel |
| showcase_revenue | Revenue from the showcase / 橱窗 channel |
| revenue_growth_rate | Revenue growth rate (%) |
| commission_rate | Commission rate as a direct percentage (25.0 = 25%) |
| launch_date | Product launch date (YYYY-MM-DD) |
Detail rows additionally include:
| Field | Description |
|---|---|
| product_region | Product market region (e.g. us) |
| product_shop_id | ID of the shop this product belongs to |
| pri_cate_id / sec_cate_id / ter_cate_id | Primary / secondary / tertiary category IDs |
| min_price / max_price | Minimum / maximum price in the requested currency |
| product_review_count | Number of product reviews |
| delivery_type | Delivery type (e.g. local) |
| video_number / live_number / creator_number | Associated video / live / creator counts |
| shopping_mall_revenue | Revenue from the shopping mall (商城) channel |
Detail revenue channel split:
revenue=video_revenue+live_revenue+shopping_mall_revenue.
Product ranking (/kalodata/product/rank)
| Parameter | Type | Required | Description |
|---|---|---|---|
| region | string | No | TikTok Shop market region code, e.g. US. Default US when unspecified |
| dateRange | string | No | Relative time window, e.g. last7Day, last30Day |
| currency | string | No | Currency for monetary metrics, e.g. USD |
| language | string | No | Response language, e.g. zh-CN, en-US |
| category_ids | array<string> | No | Category ID list filter |
| shop_id | string | No | Shop ID filter |
| creator_id | string | No | Creator ID filter |
| video_id | string | No | Return products associated with the specified video |
| livestream_id | string | No | Return products associated with the specified livestream |
| revenue_range | string | No | Revenue / GMV range filter |
| is_affiliate | string | No | Affiliate filter: PUBLIC_PLAN or NON_AFFILIATE |
| commission_rate | number | No | Affiliate commission rate, e.g. 0.15 |
| is_tts_product | integer | No | Fully managed product filter: 1 or 0 |
| unit_price_range | string | No | Product unit-price range filter |
| sortField | object | No | Sorting specification; omit for default ranking |
| pageNumber | integer | No | Page number, 1-5 |
| pageSize | integer | No | Page size, 5-100 |
Product detail (/kalodata/product/detail)
| Parameter | Type | Required | Description |
|---|---|---|---|
| productId | string | Yes | TikTok product ID from ranking field product_id (string to preserve precision) |
| region | string | No | Market region code, e.g. US |
| dateRange | string | No | Time window, e.g. last7Day, last30Day |
| language | string | No | Response language, e.g. zh-CN, en-US |
| currency | string | No | Currency for monetary metrics, e.g. USD |
POST /kalodata/product/rank 或 POST /kalodata/product/detail（完整参数/响应/错误码见 references/api.md）python scripts/kalodata_product_search.py '<JSON 参数>' [--inline] 或 python scripts/kalodata_product_detail.py '<JSON 参数>' [--inline]输出策略（脚本默认行为）：
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-kalodata-tiktok-product-<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. Browse top TikTok products in the US (last 7 days)
{"region":"US","dateRange":"last7Day","pageSize":20,"pageNumber":1,"currency":"USD"}2. Fetch one product's detail
{"productId":"1729508370969629931","region":"US","dateRange":"last7Day","currency":"USD"}3. Discovery-to-detail workflow
Run kalodata_product_search.py first, choose a row's product_id, then pass that value as productId to kalodata_product_detail.py.dateRange, region, and currency when showing monetary metrics.sales_volumn.commission_rate is a direct percentage (25.0 = 25%), not basis points — show with a % sign.revenue_growth_rate is a percentage — show with a % sign.revenue = video_revenue + live_revenue + showcase_revenue; detail revenue = video_revenue + live_revenue + shopping_mall_revenue. Present the split when useful.sortField.productId; it cannot find a product by name alone. Obtain productId from the ranking product_id first.total or page count; result count is data.length.pageNumber is limited to 1-5 and pageSize is limited to 5-100.region) may return errcode 200 with no data field and still be billed.errcode 501 with a Kalodata HTTP 5xx message (e.g. 522/554). Retry the same parameters once or twice; do not change parameters automatically.Applicable -- TikTok product ranking or product detail lookup:
| User Says | Scenario |
|---|---|
| "TikTok商品榜单", "TikTok商品排行" | Product ranking lookup |
| "TikTok热销榜", "TikTok爆品排行", "TikTok选品榜单" | Best-seller / hot product ranking |
| "kalodata商品榜", "kaloda排行" | Direct data source reference |
| "TikTok商品详情", "TikTok商品资料" | Single product detail lookup |
| "商品价格", "商品销量" | Product price / sales |
| "kalodata product rank/detail", "product analytics" | Direct product detail reference |
Not applicable -- Needs beyond TikTok products:
每次调用消耗 7.0 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 5 other files (scripts, references) in skills/linkfox-kalodata-tiktok-product of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Kalodata Tiktok Product 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 Kalodata Tiktok Product this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.5k | Automated safety check: Pass | MIT | |
| 13 Data Analysis Globalminhnv0807/ai-business-skills | 609 | — | ~4k | Automated safety check: Pass | MIT | |
| 13 Phan Tich Du Lieuminhnv0807/ai-business-skills | 609 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Analytics Tracking Testingpetrkindlmann/qa-skills | 170 | — | ~6.2k | Automated safety check: Pass | MIT | |
| PostHog CLI Queriesdebugtheworldbot/keyStats | 1.5k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Google Maps ScraperMahanaicoach/google-maps-scraper-kit | 1.3k | — | ~2.8k | Automated safety check: Pass | MIT |
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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…
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通过kalodata数据查询TikTok电商商品排行榜并查询指定商品的详细数据，支持按地区、货币、语言与日期范围查看高排名/热销商品，并可用productId获取价格区间、销量、销售额、佣金率、上下架时间及所属店铺。当用户提到TikTok商品榜单、TikTok商品排行、TikTok热销榜、TikTok爆品排行、TikTok选品榜单、kalodata商品榜、TikTok商品详情、TikTok商品资…. Linkfox Kalodata Tiktok Product is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Kalodata Tiktok Product fits situations like: tasks that involve Product analytics.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-product -a claude-code`. Or copy the skill folder (skills/linkfox-kalodata-tiktok-product in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-kalodata-tiktok-product in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-kalodata-tiktok-product -a codex`. Or copy the skill folder (skills/linkfox-kalodata-tiktok-product in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-kalodata-tiktok-product 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-kalodata-tiktok-product -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-kalodata-tiktok-product, .gemini/skills/linkfox-kalodata-tiktok-product, .github/skills/linkfox-kalodata-tiktok-product and .opencode/skills/linkfox-kalodata-tiktok-product in your project.
Going by SKILL.md and its folder, Linkfox Kalodata Tiktok Product 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 Kalodata Tiktok Product is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 3.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Kalodata Tiktok Product: 13 Data Analysis Global (minhnv0807/ai-business-skills, 609 stars), 13 Phan Tich Du Lieu (minhnv0807/ai-business-skills, 609 stars), Analytics Tracking Testing (petrkindlmann/qa-skills, 170 stars) and PostHog CLI Queries (debugtheworldbot/keyStats, 1.5k 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.
