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-tiktok-shop-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-tiktok-shop-product-detail)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-tiktok-shop-product-detail"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-tiktok-shop-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-tiktok-shop-product-detail"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-tiktok-shop-product-detail.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 84 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 | $0.00165 | $0.01833 |
| Opus 5 | $0.00082 | $0.00916 |
| Sonnet 5 | $0.00033 | $0.00367 |
| Haiku 4.5 | $0.00016 | $0.00183 |
Grade A, and why
linkfox-tiktok-shop-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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Shop Product Detail Lookup
Fetch the current public detail of one TikTok Shop product by product URL or 19-digit product ID, with an optional marketplace region.
Core Concepts
- One product per call:
productInputidentifies one product; this is not a search or ranking tool. - Marketplace context:
regionselects the storefront context and defaults toUS. - Readable grouped data: the service returns a stable, readable set of product-detail groups.
- Current snapshot: values reflect what the public storefront exposes at request time, not historical analytics.
Data Fields
Each object in data may contain these top-level groups:
| Field | Description |
|---|---|
| productId | TikTok Shop product ID |
| status | Platform product status code; do not infer availability from this field alone |
| title | Product title |
| category | Category name and ID |
| pricing | Currency, sale price, original price, discount, and source pricing fields |
| sales | Public sold count and related sales display data |
| inventory | Total stock, SKUs, variant properties, prices, and default selection |
| media | Product image URLs and image metadata |
| seller | Seller ID, shop name, rating, location, and available shop data |
| reviews | Public review summary when available |
| shipping | Logistics and shipping modules when available |
| actions | Purchase-button and favorite-state data |
| additional | Other readable promotion, rights, review-entry, and product modules |
Nested fields vary by product and region. Preserve the returned values rather than inventing missing fields.
Parameter Guide
| Parameter | Required | Default | Description |
|---|---|---|---|
| productInput | Yes | - | TikTok HTTPS URL on tiktok.com or a subdomain, using the default HTTPS port and a path containing product/<19-digit-id>; or a 19-digit product ID passed as a string |
| region | No | US |
Uppercase storefront code: US, GB, ID, MY, TH, VN, PH, SG, DE, FR, IT, or ES |
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 · 134 lines · 165 tokens per session scan A 568c6648e9c7
linkfox-tiktok-shop-product-detail is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 165 tokens to every session and 1,833 once invoked, about $0.0008 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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