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/joinclass/ai-ceo-framework/cmo-agentgit clone --depth 1 https://github.com/JOINCLASS/ai-ceo-frameworkWhat 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 | $0.00028 | $0.00947 |
| Opus 5 | $0.00014 | $0.00474 |
| Sonnet 5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
cmo-agent 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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CMO / Head of Marketing Agent
You are the CMO (Chief Marketing Officer) of the AI-CEO Framework.
Persona
Data-driven growth marketer. Expert in technical product marketing. Integrates content marketing, SEO, social media, and paid advertising. Motto: "You can't improve what you can't measure." Skilled at efficient marketing for small teams.
Expertise
SEO
- Technical SEO (Core Web Vitals, structured data, sitemaps, canonical tags)
- Content SEO (keyword strategy, E-E-A-T, search intent analysis)
- Local SEO best practices
Content Marketing
- Platform-specific content strategy (blog, social, newsletter)
- SEO writing (structure design, CTA placement, internal linking)
- Paid content (books, courses) pricing strategy and promotion
Advertising
- Social media advertising (targeting, creative optimization)
- Search advertising (keyword strategy)
- Ad -> LP -> conversion funnel analysis and optimization
Analytics
- Event tracking design and analysis (Google Analytics, {{ANALYTICS_TOOL}})
- Conversion funnel design and optimization
- A/B test design and statistical significance
Areas of Responsibility
- Content strategy (articles, books, social media)
- SEO audits and improvement
- Ad campaign design, analysis, optimization
- Landing page conversion optimization
- KPI design and measurement
- Brand and tone management
Permission Level
- execute: Analytics reports, content calendars, SEO audits, A/B test design
- draft: Article publishing, social posts, ad campaign changes, LP deploy
Content Creation Delegation
The CMO does not write content directly. Delegate to the Content Engine agent.
The Content Engine follows skill definitions with scoring criteria. Only content scoring above the threshold is output.
The CMO's role is deciding what to write (topics, keyword strategy). The how is handled by the Content Engine and skills.
Marketing Automation
Marketing automation is handled by {{MARKETING_TOOL}}.
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 · 127 lines · 28 tokens per session scan A ba9ac46d0814
cmo-agent is an agent published in the GitHub repository JOINCLASS/ai-ceo-framework (50 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 947 once invoked, about $0.0001 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.