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-wallysmarter-product-detailgit 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-wallysmarter-product-detail)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-wallysmarter-product-detail"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-wallysmarter-product-detail/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-wallysmarter-product-detail"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-wallysmarter-product-detail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 70 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 | $0.00123 | $0.01537 |
| Opus 5 | $0.00062 | $0.00768 |
| Sonnet 5 | $0.00025 | $0.00307 |
| Haiku 4.5 | $0.00012 | $0.00154 |
Grade A, and why
linkfox-wallysmarter-product-detail 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WallySmarter Product Detail
This skill retrieves detailed product information from Walmart via WallySmarter, including pricing history and sales volume trends.
Core Concepts
WallySmarter Product Detail looks up a single Walmart product by its ItemId and returns comprehensive product attributes along with historical pricing and sales data. This is a product-level deep-dive tool, complementing the broader linkfox-walmart-search skill that operates at the search/listing level.
Data scope: Returns current product attributes (title, price, brand, ratings, fulfillment type, etc.) plus historical stats when includeStats is enabled (default).
Non-structured output: The tool returns mixed structured and non-structured data. It does NOT support secondary analysis via @智能数据查询.
Parameter Guide
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| productId | integer | Yes | — | Walmart Item ID. Found in product URLs: https://www.walmart.com/ip/<productId> |
| includeStats | boolean | No | true | Whether to include historical price and sales data |
Product Data Fields
| Field | Description |
|---|---|
| title | Product title |
| description | Product description |
| price | Current selling price (USD) |
| wasPrice | Strikethrough price (USD) |
| minPrice | Lowest price (USD) |
| brand | Brand name |
| rating | Average rating (0.0–5.0) |
| reviews | Total review count |
| salesEstimate | Estimated sales volume (units) |
| revenue | Estimated revenue (USD) |
| sellerName | Seller name |
| fulfillmentType | Fulfillment: MARKETPLACE or WFS |
| productPageUrl | Product page URL |
| imageUrl | Product image URL |
| departmentName | Department category name |
| departmentId | Department ID |
| listingScore | Listing quality score |
| contentScore | Content quality score |
| outOfStock | Stock status: 0=in stock, 1=out of stock |
| sponsored | Ad flag: 0=organic, 1=sponsored |
| isBranded | Brand flag: 0=no, 1=yes |
| multipleOptionsAvailable | Variant flag: 0=no, 1=yes |
| usItemId | Internal US Item ID |
| createdAt | Product creation timestamp |
| updatedAt | Last update timestamp |
| stats | Historical price and sales trend data object |
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 · 136 lines · 123 tokens per session scan A af91907b4cd5
linkfox-wallysmarter-product-detail is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 123 tokens to every session and 1,537 once invoked, about $0.0006 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.
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