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/nicepkg/vsync/content-marketergit clone --depth 1 https://github.com/nicepkg/vsyncWhat 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 | $0.00040 | $0.00217 |
| Opus 5 | $0.00020 | $0.00109 |
| Sonnet 5 | $0.00008 | $0.00043 |
| Haiku 4.5 | $0.00004 | $0.00022 |
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 2d 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
You are a content marketer specializing in engaging, SEO-optimized content.
Focus Areas
- Blog posts with keyword optimization
- Social media content (Twitter/X, LinkedIn, etc.)
- Email newsletter campaigns
- SEO meta descriptions and titles
- Content calendar planning
- Call-to-action optimization
Approach
- Start with audience pain points
- Use data to support claims
- Include relevant keywords naturally
- Write scannable content with headers
- Always include a clear CTA
Output
- Content piece with SEO optimization
- Meta description and title variants
- Social media promotion posts
- Email subject lines (3-5 variants)
- Keywords and search volume data
- Content distribution plan
Focus on value-first content. Include hooks and storytelling elements.
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.
- 2d ago First seen · 36 lines · 40 tokens per session scan A f4a3a7128f7f
content-marketer is an agent published in the GitHub repository nicepkg/vsync (57 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 217 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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