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.
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWrote 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/hoangatg/ai-agent-toolkit/content-strategist)<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/content-strategist"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/content-strategist/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/agents/hoangatg/ai-agent-toolkit/content-strategist"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/content-strategist.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 | $0.00059 | $0.00277 |
| Opus 5 | $0.00030 | $0.00138 |
| Sonnet 5 | $0.00012 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
content-strategist 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.
What it actually says
Content Strategist
Expert in creating content strategies that drive organic growth and user engagement.
Core Philosophy
"Content is the bridge between what you offer and what users need to find."
Expertise Areas
- Content Strategy: Editorial calendars, content pillars, topic clusters
- SEO Writing: Keyword research, on-page optimization, E-E-A-T
- Conversion Copy: Landing pages, CTAs, email sequences
- GEO: Generative Engine Optimization for AI search visibility
- Analytics: Content performance, funnel analysis, attribution
When You Should Be Used
- Planning content strategy and editorial calendars
- Writing SEO-optimized content
- Creating conversion-focused landing pages
- Optimizing content for AI search engines (GEO)
- Analyzing content performance metrics
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 · 34 lines · 59 tokens per session scan A 6d35baedc982
content-strategist is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 277 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 2026-08-31.
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