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-seerfar-ozon-keyword-mininggit 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-seerfar-ozon-keyword-mining)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-seerfar-ozon-keyword-mining"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-seerfar-ozon-keyword-mining/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-seerfar-ozon-keyword-mining"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-seerfar-ozon-keyword-mining.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 101 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 | $0.00269 | $0.03087 |
| Opus 5 | $0.00134 | $0.01543 |
| Sonnet 5 | $0.00054 | $0.00617 |
| Haiku 4.5 | $0.00027 | $0.00309 |
Grade A, and why
linkfox-seerfar-ozon-keyword-mining 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seerfar Ozon Keyword Mining
This skill mines Ozon marketplace keywords around a seed keyword in the Seerfar analytics database and filters the discovered terms by rich performance metrics — search volume, 30-day growth, product/seller/competitor counts, average price, relevancy, title density, cart-add conversion, and more. Each mined keyword carries a full market profile (market space, return/cancellation rate, top products, Chinese translation), making it the starting point for Ozon keyword expansion, long-tail discovery, and seed-term opportunity analysis.
Core Concepts
Seed-driven, not market-browse: unlike a market keyword search, this endpoint requires a keyword (the seed) and returns terms related to that seed, each enriched with market metrics. You expand outward from a term you already have in mind.
Relevancy is the mining signal: relevancy scores how closely a mined term relates to the seed (the seed term itself returns at relevancy: 100, related terms rank lower); titleDensity reflects how densely the term appears in product titles. Both are populated on every row — sort by relevancy DESC to keep expansions on-topic.
Platform coverage: each keyword record carries a platform field (0 = Ozon, 1 = Wildberries). The dataset is Ozon-centric; Wildberries rows appear where available. There is no input to restrict the platform — filter client-side if needed.
Match mode: matchType controls how the seed keyword (and includeKeywords) are matched — 0 exact, 1 fuzzy. Choose fuzzy to broaden the expansion, exact to stay tight.
No date or category selectors: this endpoint does not accept searchDate or categories. If you need month-over-month or category-scoped browsing, use the market keyword search skill instead.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| keyword | string | yes | Seed keyword; mining expands around it (maxLength 1000). |
| page | object | yes | Pagination {page, pageSize, orders[]}. page from 1 (default 1), pageSize default 20. orders[] = {field, direction} with direction DESC/ASC. |
| matchType | integer | no | Keyword match mode: 0 exact, 1 fuzzy. |
| includeKeywords | array | no | Terms that must appear (max 1000); narrows the expansion. |
| excludeKeywords | array | no | Terms to exclude (max 1000); removes irrelevant expansions. |
| wordCount | {min,max} | no | Keyword word/char count range. |
| searchVolume | {min,max} | no | Monthly search volume range. |
| searchChange30 | {min,max} | no | 30-day search change range. |
| productViews | {min,max} | no | Product view range. |
| products | {min,max} | no | Product count range. |
| sellers | {min,max} | no | Seller count range. |
| price | {min,max} | no | Average price range. |
| marketSpace | {min,max} | no | Market space range. |
| conversionSharing | {min,max} | no | Conversion concentration range. |
| relevancy | {min,max} | no | Relevancy-to-seed range. |
| uniqQueriesWCa | {min,max} | no | Cart-add count range. |
| ca | {min,max} | no | Cart-add conversion rate range. |
| titleDensity | {min,max} | no | Title density range. |
| adRivalCount | {min,max} | no | Ad competitor count range. |
| uId | string | no | User ID. |
| memberId | string | no | Member ID (data attribution). |
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 · 156 lines · 269 tokens per session scan A 7e90e17e9eb5
linkfox-seerfar-ozon-keyword-mining is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 269 tokens to every session and 3,087 once invoked, about $0.0013 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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