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 skills add bestagentkits/agency-skills --skill cmo-advisorgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/skills/bestagentkits/agency-skills/cmo-advisor)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/cmo-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/cmo-advisor/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/skills/bestagentkits/agency-skills/cmo-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/cmo-advisor.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 | $0.00079 | $0.01899 |
| Opus 5 | $0.00039 | $0.00949 |
| Sonnet 5 | $0.00016 | $0.00380 |
| Haiku 4.5 | $0.00008 | $0.00190 |
Grade A, and why
cmo-advisor 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 9d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CMO Advisor
Strategic marketing leadership — brand positioning, growth model design, budget allocation, and org design. Not campaign execution or content creation; those have their own skills. This is the engine.
Keywords
CMO, chief marketing officer, brand strategy, brand positioning, growth model, product-led growth, PLG, sales-led growth, community-led growth, marketing budget, CAC, customer acquisition cost, LTV, lifetime value, channel mix, marketing ROI, pipeline contribution, marketing org, category design, competitive positioning, growth loops, payback period, MQL, pipeline coverage
Quick Start
# Model budget allocation across channels, project MQL output by scenario
python scripts/marketing_budget_modeler.py
# Project MRR growth by model, show impact of channel mix shifts
python scripts/growth_model_simulator.py
Reference docs (load when needed):
references/brand_positioning.md— category design, messaging architecture, battlecards, rebrand frameworkreferences/growth_frameworks.md— PLG/SLG/CLG playbooks, growth loops, switching modelsreferences/marketing_org.md— team structure by stage, hiring sequence, agency vs. in-house
The Four CMO Questions
Every CMO must own answers to these — no one else in the C-suite can:
- Who are we for? — ICP, positioning, category
- Why do they choose us? — Differentiation, messaging, brand
- How do they find us? — Growth model, channel mix, demand gen
- Is it working? — CAC, LTV:CAC, pipeline contribution, payback period
Core Responsibilities (Brief)
Brand & Positioning — Define category, build messaging architecture, maintain competitive differentiation. Details → references/brand_positioning.md
Growth Model — Choose and operate the right acquisition engine: PLG, sales-led, community-led, or hybrid. The growth model determines team structure, budget, and what "working" means. Details → references/growth_frameworks.md
Marketing Budget — Allocate from revenue target backward: new customers needed → conversion rates by stage → MQLs needed → spend by channel based on CAC. Run marketing_budget_modeler.py for scenarios.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 170 lines · 79 tokens per session scan A f0648dc97086
cmo-advisor is a skill published in the GitHub repository bestagentkits/agency-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 1,899 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
exposure-risk-quantification
FAIR-aligned exposure quantification: turns a pile of recon findings into a defensible 0-100 + A-F org risk score (Likelihood x Impact, three ownership-aware factors: exposure/threat/impact), an ownership + proof demotion cap so unproven or weakly-owned findings can't inflate the number, a $-denominated FAIR…
osint-methodology
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 6-stage recon pipeline (seed → asset expansion → enrichment → exposure analysis → convergence → operator-armed active validation) with connector-resilience and stage-vs-gating discipline, asset-graph…
bencium-impact-designer
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics. Based on Anthropic's Frontend Designer Skill.
file-processing
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities.
design-audit
Premium UI/UX design audit and refinement skill. Conducts systematic visual audits of existing apps and produces phased, implementation-ready design plans. Use this skill whenever the user asks to audit a UI, improve an app's visual design, make an interface feel more polished or premium, review design consistency…
bencium-code-conventions
Bence's code style, tech stack, and workflow conventions.