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-product-videogit 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-product-video)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-echotik-product-video"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-product-video/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-product-video"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-product-video.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 108 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 | $0.00148 | $0.02170 |
| Opus 5 | $0.00074 | $0.01085 |
| Sonnet 5 | $0.00030 | $0.00434 |
| Haiku 4.5 | $0.00015 | $0.00217 |
Grade A, and why
linkfox-echotik-product-video 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EchoTik - TikTok Product Video
This skill guides you on how to query promotional videos associated with a TikTok Shop product, helping sellers analyze video marketing performance and identify effective influencer content strategies.
Core Concepts
This tool retrieves the list of promotional videos linked to a specific TikTok product. Each video record includes engagement metrics (views, likes, comments, shares, favorites), estimated sales attribution (video sales count and GMV), video metadata (duration, resolution, publish date), and the creator (influencer) ID. This enables sellers to understand which videos drive the most sales for a product and what content patterns work best.
Required input: A productId is mandatory. You can obtain product IDs from the EchoTik product search tool (linkfox-echotik-product-search) or the new product ranking tool (linkfox-echotik-new-product-rank).
Sort fields: Videos can be sorted by views (1), likes (2), shares (3), video sales (4), video GMV (5), or publish date (6).
Pagination: pageSize must be a multiple of 10, max 100. The backend fetches in batches of 10 and merges results.
Parameter Guide
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| productId | string | Yes | TikTok product ID | - |
| userId | string | No | Filter by influencer ID | - |
| productVideoSortField | integer | No | Sort field: 1=views, 2=likes, 3=shares, 4=video sales, 5=video GMV, 6=publish date | 1 |
| sortType | integer | No | Sort order: 0=ascending, 1=descending | 1 |
| minCreateTime | integer | No | Video publish start time (Unix timestamp in seconds) | - |
| maxCreateTime | integer | No | Video publish end time (Unix timestamp in seconds) | - |
| pageNum | integer | No | Page number | 1 |
| pageSize | integer | No | Results per page (multiple of 10, max 100) | 50 |
调用方式
- API 端点：
POST /echotik/listProductVideo（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/echotik_list_product_video.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.
- 13d ago First seen · 165 lines · 148 tokens per session scan A 965e5de766d9
linkfox-echotik-product-video is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 148 tokens to every session and 2,170 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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