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-echotik-list-new-product-rankgit 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-echotik-list-new-product-rank)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-new-product-rank"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-new-product-rank/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-echotik-list-new-product-rank"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-new-product-rank.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 125 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 | $0.00149 | $0.02315 |
| Opus 5 | $0.00075 | $0.01157 |
| Sonnet 5 | $0.00030 | $0.00463 |
| Haiku 4.5 | $0.00015 | $0.00231 |
Grade A, and why
linkfox-echotik-list-new-product-rank 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 12d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EchoTik - TikTok New Product Ranking
This skill guides you on how to query and analyze the TikTok Shop new product ranking data via the EchoTik data source, helping cross-border e-commerce sellers identify trending new products across TikTok's regional markets.
Core Concepts
The TikTok New Product Ranking tracks recently listed products that are gaining traction on TikTok Shop. It reveals which new products are selling well, their pricing, sales volume, influencer coverage, and live-stream activity. This is an essential tool for product scouting, trend analysis, and competitive intelligence in the short-video e-commerce space.
Data scope: The ranking covers 16 TikTok Shop markets and provides daily snapshots of new products along with their performance metrics (sales volume, revenue, influencer count, video count, live-stream count, commission rate, ratings, and more).
Pagination: Results are paginated. Use pageNum (page number, starting from 1) and pageSize (items per page, default 50) to navigate through the result set.
Parameter Guide
| Parameter | Type | Required | Description |
|---|---|---|---|
| date | string | Yes | Query date in YYYY-MM-DD format |
| region | string | No | Market region code. Default: US. See Supported Markets below |
| pageNum | integer | No | Page number, starting from 1 (default: 1) |
| pageSize | integer | No | Number of products per page (default: 50) |
Supported Markets
| Code | Market |
|---|---|
| US | United States |
| GB | United Kingdom |
| ID | Indonesia |
| TH | Thailand |
| PH | Philippines |
| MY | Malaysia |
| VN | Vietnam |
| MX | Mexico |
| SG | Singapore |
| SA | Saudi Arabia |
| BR | Brazil |
| ES | Spain |
| JP | Japan |
| DE | Germany |
| IT | Italy |
| FR | France |
Default market is US. Use US when the user does not specify a market.
调用方式
- API 端点：
POST /echotik/listNewProductRank（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/echotik_list_new_product_rank.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.
- 12d ago First seen · 183 lines · 149 tokens per session scan A be4190b2df1e
linkfox-echotik-list-new-product-rank is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 149 tokens to every session and 2,315 once invoked, about $0.0007 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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