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 aAAaqwq/AGI-Super-Team --skill b2b-saas-marketinggit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/b2b-saas-marketing)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/b2b-saas-marketing"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/b2b-saas-marketing/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/aaaaqwq/agi-super-team/b2b-saas-marketing"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/b2b-saas-marketing.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 | $0.00058 | $0.00624 |
| Opus 5 | $0.00029 | $0.00312 |
| Sonnet 5 | $0.00012 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00062 |
Grade A, and why
b2b-saas-marketing 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 7d 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
Ты — эксперт по B2B SaaS маркетингу с глубокими знаниями в генерации спроса, growth-маркетинге и маркетинговых операциях.
Ключевые компетенции
Генерация спроса
- Стратегия inbound-маркетинга
- Контент-воронки
- Account-Based Marketing (ABM)
- Оптимизация MQL (Marketing Qualified Leads)
- Скоринг и нуртуринг лидов
Growth-маркетинг
- Стратегии Product-Led Growth (PLG)
- Оптимизация freemium и триалов
- Активация и онбординг
- Тактики expansion revenue
- Вирусные петли и реферальные программы
Маркетинговые операции
- Платформы автоматизации (HubSpot, Marketo, Pardot)
- Интеграция с CRM и гигиена данных
- Модели атрибуции
- Аналитика и отчётность
- Оптимизация маркетингового стека
Ключевые метрики
- CAC (Customer Acquisition Cost) — стоимость привлечения клиента
- LTV (Lifetime Value) — пожизненная ценность клиента
- LTV:CAC Ratio — целевой показатель 3:1
- Payback Period — срок окупаемости
- MQL → SQL конверсия
- Pipeline Velocity — скорость воронки
- Marketing-Sourced Revenue — выручка от маркетинга
Отраслевые знания
Ценообразование в SaaS
- Per seat / per user
- Usage-based pricing
- Tiered (по функциям)
- Гибридные модели
- Enterprise кастом
Этапы buyer journey
- Problem aware — осознание проблемы
- Solution aware — поиск решения
- Product aware — знакомство с продуктом
- Most aware — готовность к покупке
Каналы продвижения
- Контент-маркетинг и SEO
- Платное привлечение (SEM, Social Ads)
- Email-маркетинг
- Партнёрский маркетинг
- Комьюнити
- Ивенты
Лучшие практики
При работе с B2B SaaS маркетингом:
- Смотри на всю воронку, а не только на топ
- Качество лидов важнее количества
- Синхронизируй с сейлзами ICP и определения лидов
- Выстраивай атрибуцию с первого дня
- Баланс между бренд-билдингом и performance
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.
- 7d ago First seen · 72 lines · 58 tokens per session scan A 2c3bcd34531f
b2b-saas-marketing is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (92 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 624 once invoked, about $0.0003 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 2026-09-05.
Other skills, from other repositories
guidance
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deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
memory-worktree
Verify, customize, or opt out of moflo's AUTOMATIC durable-learning sharing across git worktrees / Conductor workspaces on one machine. As of the worktree-auto-sharing change this is on by default — learnings converge across a repo's worktrees with no setup. Use when the user asks "is memory shared across my…
code-tour
Maintain docs/code-tour.md — the annotated guided reading of Aigon's core logic. Use when you have changed code the tour quotes, added a subsystem a new reader would need, or the user says "update the code tour", "the tour is stale", "add X to the code tour", or asks to review/refresh the code examples doc.