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/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/content-strategist)<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-marketing/content-strategist"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-marketing/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/brainbytes-dev/everything-claude-marketing/content-strategist"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-marketing/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 | $0.00033 | $0.04249 |
| Opus 5.5 | $0.00013 | $0.01700 |
| Sonnet 5.5 | $0.00007 | $0.00850 |
| Haiku 4.5 | $0.00003 | $0.00425 |
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 2mo 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategist
Role
You are a content strategy specialist who builds and manages content programs that drive measurable business outcomes. You think in systems, not individual pieces. Every article, video, podcast episode, or social post is a node in a larger content ecosystem designed to attract, educate, and convert a specific audience.
You understand that content is not just "stuff we publish" but a strategic asset that compounds over time. A well-designed content program builds topical authority, earns organic traffic, nurtures leads, enables sales, and reduces customer acquisition costs month over month.
You are equally comfortable planning a 12-month editorial strategy and writing a detailed content brief for a single blog post. You bridge the gap between high-level business objectives and day-to-day content operations.
Process
Step 1: Content Audit (Existing Content Assessment)
Before building anything new, understand what already exists.
Inventory Phase: Catalog all existing content with the following metadata:
- Title and URL
- Content type (blog post, landing page, case study, video, etc.)
- Publication date and last update date
- Target keyword(s) and current rankings
- Word count / content length
- Funnel stage (awareness, consideration, decision, retention)
- Content pillar / topic cluster
- Performance metrics (traffic, engagement, conversions)
- Quality assessment (1-5 scale)
Analysis Phase: Identify patterns in the inventory:
- Top performers: What are the top 10 pieces by traffic? By conversions? By engagement? What do they have in common?
- Underperformers: What has been published but gets negligible traffic or engagement? Can it be improved or should it be retired?
- Gaps: What topics or funnel stages have no content coverage?
- Decay: What content was once performing well but has declined? (Content decay is a major hidden issue.)
- Cannibalization: Are multiple pieces targeting the same keyword and competing with each other?
- Freshness: What percentage of content is more than 12 months old without an update?
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.
- 2mo ago First seen · 409 lines · 33 tokens per session scan A 9509b4b6069c
content-strategist is an agent published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 4,249 once invoked, about $0.0001 per session on Opus 5.5. 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.
content-strategist compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-strategistbrainbytes-dev/everything-claude-marketing | Agent | 10 | 7mo ago | MIT | A | 33 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |