SEO Content Brief Generator
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-competitor-lookup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-competitor-lookup --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-sellersprite-competitor-lookup .claude/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .claude/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookupType 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-sellersprite-competitor-lookup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-competitor-lookup --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-sellersprite-competitor-lookup .agents/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .agents/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-competitor-lookup --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-sellersprite-competitor-lookup .cursor/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .cursor/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookup--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-sellersprite-competitor-lookup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-competitor-lookup --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-sellersprite-competitor-lookup .gemini/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .gemini/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookupInstalls 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-sellersprite-competitor-lookup -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-sellersprite-competitor-lookup .github/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .github/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookup -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-sellersprite-competitor-lookup --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-sellersprite-competitor-lookup .opencode/skills/linkfox-sellersprite-competitor-lookup && 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-sellersprite-competitor-lookup" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-competitor-lookup into .opencode/skills/linkfox-sellersprite-competitor-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-competitor-lookup", 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-sellersprite-competitor-lookup使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor…
Linkfox Sellersprite Competitor Lookup is an agent skill from linkfox-ai/linkfox-skills. 使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor research, SellerSprite, market competitor discovery, competitor trends时触发此技能。即使用户未明确提及"卖家精灵"或"竞品查询",只要其需求涉及通过ASIN、关键词、卖家名称、品牌或品类发现和分析亚马逊竞品,也应触发此技能。
Its SKILL.md is about 2.7k 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/onboarding.py`).
It sits in Marketing & SEO, covering Competitor analysis. The licence is MIT.
8 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 Sellersprite Competitor Lookup loads about 2.7k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,145 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). 1,145 words, ~2,740 tokens.
.claude/skills/linkfox-sellersprite-competitor-lookup/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.
The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics including monthly sales volume, revenue, BSR ranking, pricing, ratings, and growth trends.
Data snapshots: The tool supports both real-time data (last 30 days) and historical monthly snapshots. Use nearly (default) for current data or a yyyyMM format (e.g., 202501) for historical snapshots. Historical snapshots capture all active listings for that month, enabling year-over-year and seasonal comparisons.
Category hierarchy: Amazon category names support multi-level paths separated by colons (:). For example, Electronics:Computers & Accessories:Monitors. Convert user-provided category descriptions into the proper colon-separated format.
US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)
Default marketplace is US. Use US when the user does not specify a marketplace.
| Parameter | Description | Example |
|---|---|---|
| marketplace | Amazon marketplace code | US, UK, DE, JP |
| keyword | Search keyword (translate to the marketplace language) | wireless earbuds |
| asinList | One or more ASINs, comma-separated (max 40) | B072MQ5BRX,B08N5WRWNW |
| sellerName | Seller name to filter by | Anker Direct |
| brand | Brand name to filter by | Anker |
| nodeLabel | Amazon category name (colon-separated levels) | Electronics:Headphones |
| nodeIdPath | Amazon category ID path | 172282 |
| matchType | Keyword match mode: 1 = phrase, 2 = fuzzy, 3 = exact (default 1) | 1 |
| showVariation | Show product variations: Y or N (default N) | N |
| dataSnapshotMonth | Data snapshot month (nearly for real-time, or yyyyMM) | nearly |
| Parameter | Description | Example |
|---|---|---|
| page | Page number, starting from 1 | 1 |
| size | Results per page, 10-100 (default 50) | 50 |
| order.field | Sort field (see sort options below) | total_units |
| order.desc | Sort direction: true = descending, false = ascending | true |
| Field | Description |
|---|---|
| total_units | Monthly sales units |
| total_amount | Monthly sales revenue |
| bsr_rank | BSR ranking |
| price | Price |
| rating | Rating score |
| reviews | Number of reviews |
| profit | Gross margin |
| reviews_rate | Review rate |
| available_date | Listing date |
| questions | Q&A count |
| total_units_growth | Monthly sales unit growth rate |
| total_amount_growth | Monthly revenue growth rate |
| reviews_increasement | Monthly new reviews |
| bsr_rank_cv | 7-day BSR growth count |
| bsr_rank_cr | 7-day BSR growth rate |
| amz_unit | Variant sales units |
| Field | Description |
|---|---|
| asin | Product ASIN |
| title | Product title |
| price | Current price |
| monthlySalesUnits | Monthly sales volume |
| monthlySalesRevenue | Monthly sales revenue |
| bsr | BSR ranking |
| bsrGrowthRate | BSR growth rate |
| bsrGrowthCount | BSR growth count |
| rating | Rating score |
| ratings | Number of ratings |
| ratingsGrowth | Monthly new ratings |
| ratingsRate | Review rate |
| brand | Brand name |
| sellerName | BuyBox seller |
| sellerNation | BuyBox seller nationality |
| fulfillment | Fulfillment type (AMZ/FBA/FBM) |
| availableDateString | Listing date |
| profit | Gross margin |
| nodeLabelPath | Category path |
| imageUrl | Product image URL |
| monthlySalesUnitsGrowthRate | Monthly sales growth rate |
| listingQualityScore | Listing quality score |
| variationNum | Number of variations |
| parent | Parent ASIN |
| badgeBestSeller | Best Seller badge (Y/N) |
| badgeAmazonChoice | Amazon's Choice badge (Y/N) |
| badgeEbc | A+ Content (Y/N) |
| badgeVideo | Video present (Y/N) |
POST /sellersprite/competitor-lookup(完整参数/响应/错误码见 references/api.md)python scripts/sellersprite_competitor_lookup.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sellersprite-competitor-lookup-<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. Look up competitors by ASIN
{
"marketplace": "US",
"asinList": "B072MQ5BRX,B08N5WRWNW"
}Use case: Analyze specific competing products by their ASINs.
2. Search competitors by keyword
{
"marketplace": "US",
"keyword": "wireless earbuds",
"matchType": 1,
"order": {"field": "total_units", "desc": "true"},
"size": 20
}Use case: Discover top-selling products for a keyword, sorted by monthly sales.
3. Filter by brand and category
{
"marketplace": "US",
"brand": "Anker",
"nodeLabel": "Electronics:Headphones",
"order": {"field": "total_amount", "desc": "true"}
}Use case: Analyze a specific brand's product lineup within a category.
4. Find products by seller name
{
"marketplace": "DE",
"sellerName": "Anker Direct",
"order": {"field": "bsr_rank", "desc": "false"}
}Use case: View all products from a particular seller sorted by BSR.
5. Historical snapshot comparison
{
"marketplace": "US",
"keyword": "space heater",
"dataSnapshotMonth": "202412",
"order": {"field": "total_units", "desc": "true"},
"size": 20
}Use case: Analyze seasonal product performance using historical data snapshots.
6. Show product variations
{
"marketplace": "JP",
"asinList": "B0XXXXXXXXX",
"showVariation": "Y"
}Use case: Examine all variation-level data for a product family.
message field and suggest adjusting query parameters.size). Use pagination for larger result sets.asinList.Applicable -- Amazon competitor product data queries:
| User Says | Scenario |
|---|---|
| "Find competitors for this ASIN" | ASIN-based competitor lookup |
| "Top sellers for wireless earbuds" | Keyword-based product discovery |
| "What is this seller selling" | Seller product portfolio analysis |
| "Show me products in Electronics category" | Category-based browsing |
| "Monthly sales for these ASINs" | Sales estimation for specific products |
| "New products gaining traction" | Growth trend detection |
| "Compare products across brands" | Brand benchmarking |
| "How was this niche last December" | Historical snapshot analysis |
| "Best sellers with high ratings" | Multi-metric filtering |
| "FBA vs FBM in this category" | Fulfillment type analysis |
Not applicable -- Needs beyond competitor product data:
消耗 15 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, set 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-sellersprite-competitor-lookup of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Linkfox Sellersprite Competitor Lookup 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 Sellersprite Competitor Lookup this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor ProfilingNexus-JPF/note-companion | 870 | 4 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Startup Competitorsferdinandobons/startup-skill | 1.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT |
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
AgriciDaniel/codex-seo
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Nexus-JPF/note-companion
When the user wants to research, profile, or analyze competitors from their URLs.
ferdinandobons/startup-skill
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browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
AgriciDaniel/claude-seo
Generates X vs Y comparison pages, alternatives-to-X pages, best-tools roundups and feature-matrix tables, with schema markup and verifiable data rules.
linkfox-ai/linkfox-skills
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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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使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor…. Linkfox Sellersprite Competitor Lookup is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Sellersprite Competitor Lookup fits situations like: tasks that involve Competitor analysis.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-competitor-lookup -a claude-code`. Or copy the skill folder (skills/linkfox-sellersprite-competitor-lookup in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sellersprite-competitor-lookup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-competitor-lookup -a codex`. Or copy the skill folder (skills/linkfox-sellersprite-competitor-lookup in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sellersprite-competitor-lookup 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-sellersprite-competitor-lookup -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-sellersprite-competitor-lookup, .gemini/skills/linkfox-sellersprite-competitor-lookup, .github/skills/linkfox-sellersprite-competitor-lookup and .opencode/skills/linkfox-sellersprite-competitor-lookup in your project.
Going by SKILL.md and its folder, Linkfox Sellersprite Competitor Lookup 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 Sellersprite Competitor Lookup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Sellersprite Competitor Lookup: SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Profiling (Nexus-JPF/note-companion, 870 stars) and Startup Competitors (ferdinandobons/startup-skill, 1.2k 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.