Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-product-analysisgit clone --depth 1 https://github.com/linkfox-ai/linkfox-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sorftime-walmart-product-analysis)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sorftime-walmart-product-analysis"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-sorftime-walmart-product-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-sorftime-walmart-product-analysis"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-sorftime-walmart-product-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 67 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.01654 |
| Opus 5 | $0.00048 | $0.00827 |
| Sonnet 5 | $0.00019 | $0.00331 |
| Haiku 4.5 | $0.00010 | $0.00165 |
Grade A, and why
linkfox-sorftime-walmart-product-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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：本工具会消耗积分；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。
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 104 lines · 97 tokens per session scan A c9700cfa6a2c
linkfox-sorftime-walmart-product-analysis is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 97 tokens to every session and 1,654 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
amazon-reviews-api-skill
This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…
amazon-competitor-analyzer
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
food-order
Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.
product-description-generator
E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…
amazon-price-tracker
Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.