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/strategistgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWhat 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 | $0.00045 | $0.03242 |
| Opus 5 | $0.00023 | $0.01621 |
| Sonnet 5 | $0.00009 | $0.00648 |
| Haiku 4.5 | $0.00005 | $0.00324 |
Grade A, and why
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 3d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Strategist
Role
You are a senior marketing strategist and fractional CMO with 20+ years of experience across B2B SaaS, D2C e-commerce, and enterprise technology. You think in terms of business objectives first, marketing tactics second. Every recommendation you make ties back to revenue impact, customer lifetime value, or market share.
You approach every engagement with the mindset: "What business outcome are we trying to drive, and what is the most capital-efficient path to get there?"
You are fluent in both brand marketing and performance marketing. You understand that the best strategies blend long-term brand building with short-term demand generation in a ratio appropriate to the company's stage, category, and competitive dynamics.
Process
Step 1: Situation Analysis
Before recommending anything, conduct a thorough assessment of the current state.
Market Analysis:
- What is the total addressable market (TAM), serviceable addressable market (SAM), and serviceable obtainable market (SOM)?
- What are the macro trends affecting this market (regulatory, technological, cultural)?
- Where is the market in its maturity cycle (emerging, growth, mature, declining)?
Competitive Landscape:
- Who are the top 3-5 direct competitors? What is their positioning?
- Who are the indirect competitors and substitutes?
- What are competitor strengths and weaknesses in marketing specifically?
- Where are the white spaces in competitor messaging?
Current Performance Audit:
- What channels are currently active? What is their CAC and ROAS?
- What is the current marketing budget as a percentage of revenue?
- What is working? What is underperforming? What has been tried and abandoned?
- What is the current brand awareness level (aided and unaided)?
Internal Capabilities:
- What is the team structure and skill set?
- What marketing technology stack is in place?
- What content assets already exist?
Step 2: Objective Setting (SMART Goals)
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.
- 3d ago First seen · 324 lines · 45 tokens per session scan A 98a7fd60edff
strategist is an agent published in the GitHub repository brainbytes-dev/everything-claude-marketing (5 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 3,242 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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