Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/monthu56/landforgenpx agentmods add skills/monthu56/landforge/landing-adsWrote 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/monthu56/landforge/landing-ads)<a href="https://agentmods.dev/skills/monthu56/landforge/landing-ads"><img src="https://agentmods.dev/badge/skills/monthu56/landforge/landing-ads/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/monthu56/landforge/landing-ads"><img src="https://agentmods.dev/badge/skills/monthu56/landforge/landing-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00106 | $0.01102 |
| Opus 5 | $0.00053 | $0.00551 |
| Sonnet 5 | $0.00021 | $0.00220 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
landing-ads 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
landing-ads — рекламные материалы для лендинга
Готовит всё, что нужно загрузить в рекламные кабинеты на лендинг (или вариант A/B): UTM-ссылки, тексты объявлений в рамках форматов, ключевые фразы и минус-слова, экспорт-файлы. Артефакты, не запуск. Токенов на API сейчас нет (ADR-0007), поэтому skill не создаёт кампании и ничего не тратит — только собирает материалы и инструкции.
Жёсткие правила
- Деньги — решение человека. Skill НЕ запускает кампании и НЕ тратит бюджет. Он отдаёт материалы + инструкцию по загрузке. Запуск, ставки и бюджет выставляет человек.
- Правдивость (правила копирайта проекта). Объявления не обещают того, чего нет: без выдуманных цифр, гарантий, «№1», несуществующих акций. Источник фактов — бриф (в будущем — RAG по базе знаний).
- UTM консистентны с аналитикой. Разметка должна сходиться с целями Метрики/GA4 и метками
A/B-варианта, иначе статистику по каналам/вариантам не свести (см.
landing-experiment). - Трафик-гейт. Лить платный трафик имеет смысл, когда лендинг готов к замерам (аналитика подключена). Предупреди, если запускают рекламу на неготовую к конверсии страницу.
Workflow
1. Вход
- Бриф (оффер, аудитория, SEO-тема, ограничения) — формат в
.claude/skills/new-landing/reference/brief-schema.md. - URL лендинга (прод) и, если это A/B, — id эксперимента и список вариантов.
- Каналы: Яндекс.Директ и/или Google Ads.
2. UTM-разметка
python3 .claude/skills/landing-ads/scripts/build_utm.py \
--url https://example.com/ --campaign <slug> [--channels yandex,google] [--variants A,B]
Схема и соглашения — reference/utm-scheme.md. Выдаёт таблицу ссылок
(канал × вариант) и CSV в ads/<campaign>/utm.csv.
3. Тексты объявлений
Сгенерируй по reference/ad-formats.md (лимиты символов и количество
для каждого канала; правила копирайта). Под каждый канал, при A/B — под каждый вариант (с
соответствующим utm_content). Сохрани в ads/<campaign>/ads.<channel>.json.
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 · 71 lines · 106 tokens per session scan A 8fc46180cf05
landing-ads is a skill published in the GitHub repository monthu56/landforge (10 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 1,102 once invoked, about $0.0005 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 2026-08-31.
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