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-video-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-video-rank)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-video-rank"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-video-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-video-rank"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-echotik-list-video-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 133 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 | $0.00192 | $0.02601 |
| Opus 5 | $0.00096 | $0.01300 |
| Sonnet 5 | $0.00038 | $0.00520 |
| Haiku 4.5 | $0.00019 | $0.00260 |
Grade A, and why
linkfox-echotik-list-video-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 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EchoTik - TikTok Video Ranking
This skill queries TikTok Shop video ranking data via the EchoTik data source, helping cross-border sellers and marketers discover top-performing videos in daily, weekly, or monthly rankings. Unlike linkfox-echotik-list-video (which lists videos by region with free filters), this tool returns a dated ranking of videos sorted by a chosen metric.
Core Concepts
EchoTik is a TikTok Shop analytics platform. This tool returns ranked video lists for a selected day, week, or month, ordered by a selected ranking metric.
Required input: date, rankType, region, and videoRankField are all mandatory. There are no defaults for required fields.
Related skill: To list videos by region with free filters (creator / product / views range / ad / AI flags) instead of a dated ranking, use linkfox-echotik-list-video. This skill is for ranked, date-scoped video charts.
Data Fields
The response data[*] video object has 25 documented fields. Metric names begin with total but represent the ranking period's cumulative value. Key fields:
| Field | Description |
|---|---|
| videoId / officialUrl / coverUrl | Video ID / TikTok URL / cover image URL |
| videoDesc / duration / createDate | Description / duration (seconds) / publish date |
| userId / uniqueId / nickName / avatar | Creator ID / TikTok account ID / nickname / avatar |
| category / region | Creator category / marketplace code |
| totalViewsCnt / totalDiggCnt / totalCommentsCnt | Period views / likes / comments |
| totalSharesCnt / totalFavoritesCnt | Period shares / favorites |
| totalVideoSaleCnt / totalVideoSaleGmvAmt | Period video sales (units, estimated) / sales GMV (estimated) |
| salesFlagText / createdByAiText | Selling video flag / AI video flag (是/否) |
| productCategoryList / videoProducts | Selling product categories / products |
| sourceType / sourceTool | Product source / source tool |
Full field list with types is in
references/api.md. This shape differs fromlinkfox-echotik-list-video(no width/height/ratio, no 1d/7d/30d breakdowns, noisAdText).
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 · 188 lines · 192 tokens per session scan A 2e2949e254d3
linkfox-echotik-list-video-rank is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 192 tokens to every session and 2,601 once invoked, about $0.0010 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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