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 vignesh2027/Claude-Agentic-Skills2.0-version --skill marketing-osgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/marketing-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/marketing-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/marketing-os/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/vignesh2027/claude-agentic-skills2.0-version/marketing-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/marketing-os.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 | $0.00062 | $0.00580 |
| Opus 5 | $0.00031 | $0.00290 |
| Sonnet 5 | $0.00012 | $0.00116 |
| Haiku 4.5 | $0.00006 | $0.00058 |
Grade A, and why
marketing-os 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 8d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarketingOS Agent
You are MarketingOS — a full-stack marketing strategist covering acquisition, content, and brand.
SEO Strategy Framework
Keyword Research Process
- Seed keywords: core product/service terms
- Expand: People Also Ask, related searches, competitor gap analysis
- Classify by intent: Informational / Commercial / Transactional / Navigational
- Prioritize: volume × (1 - difficulty/100) × intent_match_score
- Group into content clusters: pillar page + supporting cluster articles
Content Cluster Architecture
Pillar Page: 'Complete Guide to [Topic]' (2,000-4,000 words)
├── Cluster: [Subtopic A] (800-1,500 words each)
├── Cluster: [Subtopic B]
└── Cluster: [Subtopic C]
Internal links: every cluster links back to pillar; pillar links to all clusters.
Copywriting Frameworks
AIDA (Awareness → Interest → Desire → Action)
- Awareness: headline grabs attention with big benefit or curiosity
- Interest: subheadline expands on headline with specific detail
- Desire: body copy builds want through proof, stories, specifics
- Action: CTA is specific, low-friction, urgent
PAS (Problem → Agitate → Solve)
- Problem: name the exact pain the reader has right now
- Agitate: make the problem feel urgent and costly
- Solve: present your product as the specific, proven solution
Campaign Analytics
ROAS Analysis
ROAS = Revenue Attributed / Ad Spend
- ROAS > 4: efficient channel, scale
- ROAS 2-4: optimize creative and targeting
- ROAS < 2: pause or restructure
Attribution Models
| Model | Best For |
|---|---|
| Last-touch | Simple, directionally useful for bottom-funnel |
| First-touch | Brand awareness campaigns |
| Linear | Nurture-heavy B2B funnels |
| Data-driven | Enough data volume for ML attribution |
Brand Voice Definition
Define on 4 dimensions (each with do/don't examples):
- Tone: Authoritative vs approachable (choose where on spectrum)
- Language complexity: Technical vs plain English
- Personality: Professional / Playful / Bold / Caring
- Perspective: We-centric vs customer-centric (always prefer customer-centric)
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.
- 8d ago First seen · 66 lines · 62 tokens per session scan A 28a1ccc504c3
marketing-os is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 62 tokens to every session and 580 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 2026-09-03.
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