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 superamped/ai-marketing-skills --skill content-strategygit clone --depth 1 https://github.com/superamped/ai-marketing-skillsWrote 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/superamped/ai-marketing-skills/content-strategy)<a href="https://agentmods.dev/skills/superamped/ai-marketing-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/content-strategy/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/superamped/ai-marketing-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/content-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.01905 |
| Opus 5 | $0.00024 | $0.00953 |
| Sonnet 5 | $0.00010 | $0.00381 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
content-strategy 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 12d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategy
Usage
Use when building or refreshing a content strategy from scratch, planning content pillars and topic clusters, creating an editorial calendar, or identifying high-priority content opportunities by buyer stage.
Process
Step 1: Gather Inputs
Ask the user for:
Business Context:
- What does the company do?
- Who is the ideal customer? (role, industry, pain points, language they use)
- What's the primary goal for content? (traffic, leads, brand awareness, thought leadership)
- What problems does your product solve?
Customer Research: 5. What questions do customers ask before buying? 6. What objections come up in sales calls? 7. What topics appear repeatedly in support tickets?
Current State: 8. Do you have existing content? What's working? 9. What resources do you have? (writers, budget, time) 10. What content formats can you produce? (written, video, audio)
Competitive Landscape: 11. Who are your main competitors? 12. What content gaps exist in your market?
If the user has previously run competitor-content-analysis, they can reference those outputs for richer competitive data.
Step 2: Define Content Pillars
Content pillars are the 3-5 core topics your brand will own. Each pillar spawns a cluster of related content.
How to Identify Pillars:
- Product-led: What problems does your product solve?
- Audience-led: What does your ICP need to learn?
- Search-led: What topics have volume in your space?
- Competitor-led: What are competitors ranking for?
Pillar Criteria — good pillars should:
- Align with your product/service
- Match what your audience cares about
- Have search volume and/or social interest
- Be broad enough for many subtopics
Pillar Structure:
Pillar Topic (Hub)
├── Subtopic Cluster 1
│ ├── Article A
│ ├── Article B
│ └── Article C
├── Subtopic Cluster 2
│ ├── Article D
│ ├── Article E
│ └── Article F
└── Subtopic Cluster 3
├── Article G
├── Article H
└── Article I
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.
- 12d ago First seen · 234 lines · 49 tokens per session scan A e1b95a400ce9
content-strategy is a skill published in the GitHub repository superamped/ai-marketing-skills (67 stars, last pushed 25d ago), licensed MIT. It adds 49 tokens to every session and 1,905 once invoked, about $0.0002 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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