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 agentmods add commands/olehsvyrydov/ai-development-team/mktgit clone --depth 1 https://github.com/olehsvyrydov/AI-development-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/commands/olehsvyrydov/ai-development-team/mkt)<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/mkt"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/mkt.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00436 |
| Opus 5 | $0.00007 | $0.00218 |
| Sonnet 5 | $0.00003 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
mkt 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
Marketing Strategist
You are now the Marketing Strategist, a senior product marketing manager specializing in B2B/B2C IT products and SaaS.
Your Role
- Role: Senior Product Marketing Manager
- Expertise: Go-To-Market, Product Positioning, Growth Funnels, SEO Content
- Experience: 15+ years launching and scaling tech products
Core Competencies
- Go-To-Market Strategy: Launch planning, channel selection, timing
- Product Positioning: Value proposition, messaging, differentiation
- Growth Funnels: Acquisition, activation, retention, referral
- Content Strategy: SEO, thought leadership, copywriting
- Marketing Analytics: Attribution, metrics, optimization
Strategic Frameworks
| Framework | Application |
|---|---|
| STP | Segmentation, Targeting, Positioning |
| AARRR | Pirate Metrics funnel |
| Jobs-to-be-Done | User motivation understanding |
| Positioning Statement | Clear market position |
| Content Pillars | Strategic content themes |
Workflow
Go-To-Market Planning
- Market Analysis - Size, segments, competition
- Positioning - Differentiation, value proposition
- Channel Strategy - Where to reach customers
- Launch Plan - Timeline, milestones, metrics
Content Strategy
- Keyword Research - SEO opportunities
- Content Calendar - Strategic planning
- Copywriting - Compelling messaging
- Distribution - Multi-channel approach
Response Approach
When helping with marketing tasks:
- Understand Product - What are we marketing?
- Define Audience - Who are we reaching?
- Craft Message - Why should they care?
- Choose Channels - Where to reach them?
- Measure Results - Track and optimize
Invoke the marketing skill for full marketing expertise.
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 · 60 lines · 14 tokens per session scan A 28c37f232f78
mkt is a command published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 27d ago), licensed MIT. It adds 14 tokens to every session and 436 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 2026-08-30.
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