Walmart Keyword Search
browser-act/skills
Walmart keyword search scraper: input a search keyword and page number, navigate to walmart.com search results, extract paginated product listings with itemId, url, title, brand, image, price…
调用 Sorftime 按自然语言名称搜索 Walmart 美国站商品，或查询商品详情、商品趋势与按日销量。用户提到 Walmart 商品名称搜索、按名称找产品、相关产品、ProductId、商品详情、价格、评分、类目排名、商品趋势、历史变化、销量趋势、变体销量、按日销量、昨日销量、竞品发现或竞品跟踪时使用。
MITAuto-check passed
Install Linkfox Sorftime Walmart Product Analysis
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-product-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-product-analysis --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-sorftime-walmart-product-analysis .claude/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .claude/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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-sorftime-walmart-product-analysisType 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-sorftime-walmart-product-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-product-analysis --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-sorftime-walmart-product-analysis .agents/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .agents/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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-sorftime-walmart-product-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-product-analysis --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-sorftime-walmart-product-analysis .cursor/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .cursor/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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-sorftime-walmart-product-analysis--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-sorftime-walmart-product-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-product-analysis --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-sorftime-walmart-product-analysis .gemini/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .gemini/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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-sorftime-walmart-product-analysisInstalls 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-sorftime-walmart-product-analysis -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-sorftime-walmart-product-analysis .github/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .github/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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-sorftime-walmart-product-analysis -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-sorftime-walmart-product-analysis --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-sorftime-walmart-product-analysis .opencode/skills/linkfox-sorftime-walmart-product-analysis && 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-sorftime-walmart-product-analysis" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-product-analysis into .opencode/skills/linkfox-sorftime-walmart-product-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-product-analysis", 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.
Facts
- Skill name
linkfox-sorftime-walmart-product-analysis- GitHub stars
- 107
- Token cost
- ~1.5k tokens
- SKILL.md length
- 608 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
调用 Sorftime 按自然语言名称搜索 Walmart 美国站商品，或查询商品详情、商品趋势与按日销量。用户提到 Walmart 商品名称搜索、按名称找产品、相关产品、ProductId、商品详情、价格、评分、类目排名、商品趋势、历史变化、销量趋势、变体销量、按日销量、昨日销量、竞品发现或竞品跟踪时使用。
- Works in 6 steps: State the operation and supplied product… → For searchByName, label results as… → For detail, present only fields returned… → …
- SKILL.md covers Core Concepts, Operation Routing, Parameter Guide and 调用方式, plus 6 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Sorftime Walmart Product Analysis is an agent skill from linkfox-ai/linkfox-skills. 调用 Sorftime 按自然语言名称搜索 Walmart 美国站商品，或查询商品详情、商品趋势与按日销量。用户提到 Walmart 商品名称搜索、按名称找产品、相关产品、ProductId、商品详情、价格、评分、类目排名、商品趋势、历史变化、销量趋势、变体销量、按日销量、昨日销量、竞品发现或竞品跟踪时使用。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
The licence is MIT.
Example prompts
- “/linkfox-sorftime-walmart-product-analysis”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- State the operation and supplied product name or product ID, and show returned requestConsumed, costCredit, and costToken. If…
- For searchByName, label results as related products rather than exact matches and report the requested page.
- For detail, present only fields returned by the ProductSummeryObject; do not infer missing attributes.
- For trend, identify time fields and units from the response before summarizing changes.
- For salesVolume, interpret rows as [date, sales, type]; type=2 marks yesterday's sales record.
- Label estimates or observed values accurately; do not present them as guaranteed Walmart transactions.
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Sorftime Walmart Product Analysis loads about 1.5k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 608 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.
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). 608 words, ~1,488 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sorftime-walmart-product-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-sorftime-walmart-product-analysis
- description
- 调用 Sorftime 按自然语言名称搜索 Walmart 美国站商品，或查询商品详情、商品趋势与按日销量。用户提到 Walmart 商品名称搜索、按名称找产品、相关产品、ProductId、商品详情、价格、评分、类目排名、商品趋势、历史变化、销量趋势、变体销量、按日销量、昨日销量、竞品发现或竞品跟踪时使用。
Walmart 产品分析
Use Sorftime to find Walmart US products by a natural-language name or inspect one product's detail, historical trend, or daily sales-volume series.
Core Concepts
- Send exactly one
operationper request. Never call all four operations as a default workflow. - Use
searchByNameto discover related products,detailfor the current product summary,trendfor historical product changes, andsalesVolumefor dated sales rows. - Every request uses a flat JSON body.
searchByNamerequiresname; the other operations require stringproductId.operationvalues are case-sensitive. - A follow-up operation or a different date range is another paid call. Reuse the 24-hour cache for identical JSON.
Operation Routing
| Intent | operation | Parameters | Sorftime Request |
|---|---|---|---|
| Find related products by name | searchByName | name, optional pageIndex | 2 |
| Current product details | detail | productId | 1 |
| Historical product trend | trend | productId | 2 |
| Daily/variant sales rows | salesVolume | productId, optional dates/page | 1 |
Read references/api.md before calling for exact date and pagination rules.
Parameter Guide
- Always treat
productIdas a string, even when it contains digits only. searchByNameaccepts a natural-language product name and returns up to 100 related products per page;pageIndexdefaults to 1.salesVolumeaccepts optionalqueryDateandqueryEndDateinyyyy-MM-dd. With neither, it returns the recent 30-day range; with onlyqueryDate, the end defaults to the current day.pageIndexapplies tosearchByNameandsalesVolume, starts at 1, and defaults to 1.- The current available historical range is controlled by Sorftime; do not promise a fixed earliest date.
调用方式
- API 端点：
POST /sorftime/walmart/productAnalysis（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/sorftime_walmart_product_analysis.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-sorftime-walmart-product-analysis-<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：
- 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
Usage Examples
python scripts/sorftime_walmart_product_analysis.py '{"operation":"searchByName","name":"wireless earbuds","pageIndex":1}'
python scripts/sorftime_walmart_product_analysis.py '{"operation":"detail","productId":"5169493923"}'
python scripts/sorftime_walmart_product_analysis.py '{"operation":"trend","productId":"5169493923"}'
python scripts/sorftime_walmart_product_analysis.py '{"operation":"salesVolume","productId":"5169493923","queryDate":"2026-07-01","queryEndDate":"2026-07-31","pageIndex":1}'Display Rules
- State the operation and supplied product name or product ID, and show returned
requestConsumed,costCredit, andcostToken. If_cache.hit=true, make clear that the cached values describe the original live request and no new production charge occurred. - For
searchByName, label results as related products rather than exact matches and report the requested page. - For
detail, present only fields returned by the ProductSummeryObject; do not infer missing attributes. - For
trend, identify time fields and units from the response before summarizing changes. - For
salesVolume, interpret rows as[date, sales, type];type=2marks yesterday's sales record. - Label estimates or observed values accurately; do not present them as guaranteed Walmart transactions.
Show full SKILL.md (187 more words)Show less
Important Limitations
- This integration targets Walmart US only.
- The API accepts one product name or one product ID and one operation per call.
- Sorftime controls historical coverage and data availability.
- Pagination or a second operation creates another paid call and requires user authorization.
searchByNameis natural-language related-product discovery, not a multi-filter product database or category-market query.
User Expression & Scenario Quick Reference
Applicable: finding Walmart products from a natural-language product name, or queries centered on a known ProductId and its details, trend, or sales history.
Not applicable: category market research, keyword metrics/reverse lookup, or multi-condition product filtering.
Boundary judgment: Use searchByName only when the user needs related products from a name; use detail for a current snapshot, trend for historical attributes, and salesVolume only for dated sales rows.
算力消耗规则
按动态规则计费：单个 Sorftime Request 当前显示为 6 算力；多 Request 操作由网关按整单计算并取整，最终以入口脚本返回的 costCredit 为准，不要简单用 requestConsumed × 6 代替实际账单。
用户会因算力消耗而支付费用。不要未经确认补调另一 operation 或下一页。
Feedback:
Auto-detect and report feedback via the Feedback API when behavior or results mismatch intent, the user expresses praise or dissatisfaction, or an improvement is apparent. Follow references/api.md without interrupting 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-sorftime-walmart-product-analysis of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sorftime_walmart_product_analysis.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Sorftime Walmart Product Analysis 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 Sorftime Walmart Product Analysis this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Walmart Keyword Searchbrowser-act/skills | 6.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Linkfox Onboardinginfometa/workbuddyskills | 348 | — | ~1.8k | Automated safety check: Pass | None | |
| Walmart Listing Optimizationnexscope-ai/eCommerce-Skills | 1.1k | — | ~594 | Automated safety check: Pass | MIT | |
| Brand Protection Walmartnexscope-ai/eCommerce-Skills | 1.1k | — | ~744 | Automated safety check: Pass | MIT | |
| Walmart Review Checkernexscope-ai/eCommerce-Skills | 1.1k | — | ~617 | 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 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…
Questions about Linkfox Sorftime Walmart Product Analysis
What does Linkfox Sorftime Walmart Product Analysis do?
调用 Sorftime 按自然语言名称搜索 Walmart 美国站商品，或查询商品详情、商品趋势与按日销量。用户提到 Walmart 商品名称搜索、按名称找产品、相关产品、ProductId、商品详情、价格、评分、类目排名、商品趋势、历史变化、销量趋势、变体销量、按日销量、昨日销量、竞品发现或竞品跟踪时使用。. Linkfox Sorftime Walmart Product Analysis is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Sorftime Walmart Product Analysis in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-product-analysis -a claude-code`. Or copy the skill folder (skills/linkfox-sorftime-walmart-product-analysis in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sorftime-walmart-product-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sorftime Walmart Product Analysis in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-product-analysis -a codex`. Or copy the skill folder (skills/linkfox-sorftime-walmart-product-analysis in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sorftime-walmart-product-analysis in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sorftime Walmart Product Analysis 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-sorftime-walmart-product-analysis -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-sorftime-walmart-product-analysis, .gemini/skills/linkfox-sorftime-walmart-product-analysis, .github/skills/linkfox-sorftime-walmart-product-analysis and .opencode/skills/linkfox-sorftime-walmart-product-analysis in your project.
What does Linkfox Sorftime Walmart Product Analysis need to run?
Going by SKILL.md and its folder, Linkfox Sorftime Walmart Product Analysis 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 Sorftime Walmart Product Analysis access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Sorftime Walmart Product Analysis 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 Sorftime Walmart Product Analysis use?
Linkfox Sorftime Walmart Product Analysis 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 Sorftime Walmart Product Analysis use?
About 1.5k tokens (SKILL.md is roughly 6k 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 3.8k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sorftime Walmart Product Analysis?
Skills that share tags, products or a category with Linkfox Sorftime Walmart Product Analysis: Walmart Keyword Search (browser-act/skills, 6.1k stars), Linkfox Onboarding (infometa/workbuddyskills, 348 stars), Walmart Listing Optimization (nexscope-ai/eCommerce-Skills, 1.1k stars) and Brand Protection Walmart (nexscope-ai/eCommerce-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Sorftime Walmart Product Analysis?
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.