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 template-newslettergit 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/template-newsletter)<a href="https://agentmods.dev/skills/theyahia/wwmcp/template-newsletter"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/template-newsletter/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/template-newsletter"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/template-newsletter.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 | $0.00710 |
| Opus 5 | $0.00012 | $0.00355 |
| Sonnet 5 | $0.00005 | $0.00142 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
template-newsletter 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/template-newsletter — Письмо из шаблона и отчёт
Алгоритм
- Вызови
get_templatesс type (user — свои шаблоны, system — системные), limit и offset. Найди нужный шаблон и возьми его ID. - Вызови
get_templateс template_id — получи тему и HTML-тело. Покажи пользователю тему и краткое описание содержимого перед отправкой. - Вызови
get_listsи подтверди список получателей: название и ID. Ошибиться списком дороже, чем ошибиться текстом — отправку не отменить. - Вызови
create_emailс sender_name, sender_email, subject, body (HTML из шаблона) и list_id. Ответ содержит message_id. - Покажи пользователю финальную сводку — отправитель, тема, список, число получателей — и получи явное подтверждение.
- Вызови
send_emailс message_id. Ответ содержит campaign_id. - Вызови
get_campaign_statusс campaign_id — отправлено, доставлено, открыто, клики. Для детального разбора вызовиget_campaign_delivery_statsс campaign_id и опционально changed_since (формат YYYY-MM-DD HH:MM:SS) — там отказы и отписки поадресно.
Формат ответа
## Рассылка UniSender
**Шаблон**: «Осенняя акция» (template_id 8812)
**Тема**: Скидки до 40% до 15 октября
**Список**: «Клиенты сентябрь» (4471), 330 контактов
**campaign_id**: 99182
| Метрика | Значение |
|---------|----------|
| отправлено | 330 |
| доставлено | 318 (96,4%) |
| открыто | 92 (28,9%) |
| клики | 24 (7,5%) |
| отписки | 3 |
| отказы (bounce) | 12 |
Важно
- Между
create_emailиsend_emailесть точка невозврата. Подтверждение у пользователя запрашивай именно там, а не после. - Статистика набирается часами. Открытия, снятые через минуту после отправки, ничего не значат — скажи пользователю, когда возвращаться за цифрами.
- Высокий bounce (больше 5%) означает грязную базу и бьёт по репутации домена. Вынеси это в вывод, если увидел.
send_emailберёт message_id изcreate_email, аget_campaign_status— campaign_id изsend_email. Это разные идентификаторы, не путай их.
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 · 63 lines · 24 tokens per session scan A f04a643f84c2
template-newsletter 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 710 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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