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-dld-product-billboardgit 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-dld-product-billboard)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-dld-product-billboard"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-dld-product-billboard/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-dld-product-billboard"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-dld-product-billboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 128 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 | $0.00153 | $0.02684 |
| Opus 5 | $0.00077 | $0.01342 |
| Sonnet 5 | $0.00031 | $0.00537 |
| Haiku 4.5 | $0.00015 | $0.00268 |
Grade A, and why
linkfox-dld-product-billboard 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 13d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DLD Product Billboard (1688 Bestseller Rankings)
This skill guides you on how to query 1688 platform product bestseller billboard data, helping sellers discover hot-selling wholesale products and sourcing opportunities on China's largest B2B marketplace.
Core Concepts
The DLD Product Billboard provides access to 1688 platform's product ranking data, covering both weekly and monthly bestseller lists. It enables users to discover trending wholesale products, compare suppliers, and identify sourcing opportunities in the domestic Chinese wholesale market.
Billboard types:
- Weekly Billboard (
pageType=2): Date parameter should be the Sunday of the target week (e.g.,2025-06-15). Data available for the last 90 days. - Monthly Billboard (
pageType=3): Date parameter should be the first day of the target month (e.g.,2025-06-01). Data available for the last 12 months.
Default behavior: Monthly billboard, sorted by order count descending, 20 results per page.
Parameter Guide
Core Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| keyWord | string | No | — | Product search keyword (must be in Chinese; translate first if not) |
| date | string | No | — | Query date. Weekly: Sunday date (e.g., 2025-06-15); Monthly: first of month (e.g., 2025-06-01) |
| pageType | integer | No | 3 | Billboard type: 2 = weekly, 3 = monthly |
| pageIndex | integer | No | 1 | Page number (starts from 1) |
| pageSize | integer | No | 20 | Results per page (10-100) |
Sorting
| Parameter | Type | Default | Description |
|---|---|---|---|
| sortField | string | orderCount |
Sort field: orderCount (orders), saleCount (units sold), saleVolume (est. revenue), offerCreateTime (listing date), price (wholesale price), consignPrice (dropship price) |
| sortType | string | desc |
Sort order: desc (descending), asc (ascending) |
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.
- 13d ago First seen · 197 lines · 153 tokens per session scan A d39f9a08e8f6
linkfox-dld-product-billboard is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 153 tokens to every session and 2,684 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 2026-08-30.
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