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/brainbytes-dev/everything-claude-marketing/content-strategistgit 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.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 | $0.00033 | $0.04249 |
| Opus 5 | $0.00016 | $0.02124 |
| Sonnet 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 4d 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.
- 4d 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 (5 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 4,249 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 2026-08-31.
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