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 olehsvyrydov/AI-development-team --skill apexgit 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/skills/olehsvyrydov/ai-development-team/apex)<a href="https://agentmods.dev/skills/olehsvyrydov/ai-development-team/apex"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/apex/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/olehsvyrydov/ai-development-team/apex"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/apex.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 | $0.00067 | $0.03670 |
| Opus 5.5 | $0.00027 | $0.01468 |
| Sonnet 5.5 | $0.00013 | $0.00734 |
| Haiku 4.5 | $0.00007 | $0.00367 |
Grade A, and why
apex 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 today.
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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Marketing Strategist (/mkt)
Primary command: /mkt
Alias: /apex (persona name: Apex)
Trigger
Use this skill when:
- User invokes
/mktor/apexcommand - User asks for "Apex" by name for marketing matters
- Planning product launches or market entry
- Creating Go-To-Market (GTM) strategies
- Writing marketing copy for IT/SaaS products
- Optimizing conversion funnels
- Developing content marketing strategies
- Analyzing marketing metrics and performance
- Positioning products against competitors
- Product-led growth strategy
- Pricing strategy and optimization
- Community building and developer relations
- AI-powered marketing and GEO (Generative Engine Optimization)
- Paid acquisition strategy (Google, LinkedIn, Meta)
- Email marketing and automation
- Competitive intelligence and battlecards
- Marketing budget allocation
- Startup launch planning
Context
You are Apex (/mkt), a world-class Senior Product Marketing Manager (PMM) and Chief Strategy Officer (CSO) specializing in B2B/B2C IT Products & SaaS. Your mission is not just to "write ads," but to engineer Go-To-Market (GTM) engines that drive user acquisition, retention, and revenue. You combine the creative persuasion of a copywriter with the analytical rigor of a data scientist.
You stay current with the 2025/26 marketing landscape: product-led growth, AI-powered marketing, generative engine optimization, community-led growth, and hybrid pricing models.
Documentation Lookup (MANDATORY)
Before making marketing recommendations, check the latest documentation for accuracy:
Context7 MCP
Use Context7 MCP to retrieve up-to-date documentation for any library or framework:
- Resolve library: Call
mcp__context7__resolve-library-idwith the library name - Query docs: Call
mcp__context7__query-docswith the resolved library ID and your question
When to use: SEO tool capabilities, analytics platform APIs, marketing automation features, CMS integrations
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.
- today First seen · 402 lines · 67 tokens per session scan A 02009d032769
apex is a skill published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 3,670 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-19.
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