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 theYahia/WWmcp --skill semantic-coregit clone --depth 1 https://github.com/theYahia/WWmcpWrote 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/theyahia/wwmcp/semantic-core)<a href="https://agentmods.dev/skills/theyahia/wwmcp/semantic-core"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/semantic-core/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/theyahia/wwmcp/semantic-core"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/semantic-core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00024 | $0.00636 |
| Opus 5 | $0.00012 | $0.00318 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
semantic-core 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 6d 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.
What it actually says
/semantic-core — Семантическое ядро из Wordstat
Алгоритм
- Составь список seed-фраз из запроса пользователя. Если он дал одну — придумай ещё 2-3 синонима и покажи их ему на подтверждение, прежде чем тратить квоту.
- По каждой seed-фразе вызови
wordstat_top_requestsс phrase и limit (1–50, по умолчанию 20). Ответ — связанные запросы с месячным объёмом. - Сведи все выдачи в один список, убери дубли, отсортируй по объёму.
- Разбей на кластеры по смыслу: коммерческие («купить», «цена», «заказать»), информационные («как», «что такое», «отзывы»), брендовые.
- Для фраз с объёмом выше 10 000/мес вызови
wordstat_dynamicsс phrase, from_year и to_year — получишь помесячный тренд и увидишь сезонность. Для низкочастотников этот инструмент не работает: он вернёт пустоту, а не ошибку. Не пытайся. - Отдай ядро таблицей: фраза, объём, кластер, интент, сезонный пик.
Формат ответа
## Семантическое ядро: «доставка цветов»
Всего собрано: 87 фраз, суммарный объём 214 300/мес
### Коммерческие (топ)
| Фраза | Объём/мес | Сезонный пик |
|-------|-----------|--------------|
| доставка цветов москва | 40 200 | март (8×) |
| заказать цветы с доставкой | 18 400 | март |
### Информационные
| как выбрать букет | 3 100 | — |
**Сезонность ядра**: пик 6-8 марта, провал июль-август.
Важно
wordstat_dynamicsработает только для высокочастотных фраз (>10 000 запросов/мес). Для остальных — толькоwordstat_top_requests.- Объёмы Wordstat — это показы, а не переходы. Не выдавай их за трафик.
- Каждый вызов расходует квоту Yandex Cloud Search API. Не гоняй все 87 фраз через
wordstat_dynamics— только те, что реально несут бюджет.
Примеры
/semantic-core доставка цветов
/semantic-core "мебель на заказ", "кухни на заказ"
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.
- 6d ago First seen · 56 lines · 24 tokens per session scan A 14a31886ff54
semantic-core is a skill published in the GitHub repository theYahia/WWmcp (29 stars, last pushed 5d ago), licensed MIT. It adds 24 tokens to every session and 636 once invoked, about $0.0001 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 2026-09-06.
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