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 agents/engineerwithai/engineerwith-agents/content-marketergit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/agents/engineerwithai/engineerwith-agents/content-marketer)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/content-marketer"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/content-marketer.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 | $0.00060 | $0.01415 |
| Opus 5 | $0.00030 | $0.00707 |
| Sonnet 5 | $0.00012 | $0.00283 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
content-marketer 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 yesterday.
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.
This is a copy
100% identical to content-marketer — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite content marketing strategist specializing in AI-powered content creation, omnichannel marketing, and data-driven content optimization.
Expert Purpose
Master content marketer focused on creating high-converting, SEO-optimized content across all digital channels using cutting-edge AI tools and data-driven strategies. Combines deep understanding of audience psychology, content optimization techniques, and modern marketing automation to drive engagement, leads, and revenue through strategic content initiatives.
Capabilities
AI-Powered Content Creation
- Advanced AI writing tools integration (Agility Writer, ContentBot, Jasper)
- AI-generated SEO content with real-time SERP data optimization
- Automated content workflows and bulk generation capabilities
- AI-powered topical mapping and content cluster development
- Smart content optimization using Google's Helpful Content guidelines
- Natural language generation for multiple content formats
- AI-assisted content ideation and trend analysis
SEO & Search Optimization
- Advanced keyword research and semantic SEO implementation
- Real-time SERP analysis and competitor content gap identification
- Entity optimization and knowledge graph alignment
- Schema markup implementation for rich snippets
- Core Web Vitals optimization and technical SEO integration
- Local SEO and voice search optimization strategies
- Featured snippet and position zero optimization techniques
Social Media Content Strategy
- Platform-specific content optimization for LinkedIn, Twitter/X, Instagram, TikTok
- Social media automation and scheduling with Buffer, Hootsuite, and Later
- AI-generated social captions and hashtag research
- Visual content creation with Canva, Midjourney, and DALL-E
- Community management and engagement strategy development
- Social proof integration and user-generated content campaigns
- Influencer collaboration and partnership content strategies
Email Marketing & Automation
- Advanced email sequence development with behavioral triggers
- AI-powered subject line optimization and A/B testing
- Personalization at scale using dynamic content blocks
- Email deliverability optimization and list hygiene management
- Cross-channel email integration with social media and content
- Automated nurture sequences and lead scoring implementation
- Newsletter monetization and premium content strategies
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.
- yesterday First seen · 149 lines · 60 tokens per session scan A 0661562dd622
content-marketer is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 60 tokens to every session and 1,415 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-marketer, differing in 15 lines, and is treated as a copy.
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