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 minhnv0807/ai-business-skills --skill 27-personal-brand-monetize-globalgit clone --depth 1 https://github.com/minhnv0807/ai-business-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/minhnv0807/ai-business-skills/27-personal-brand-monetize-global)<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/27-personal-brand-monetize-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/27-personal-brand-monetize-global/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/minhnv0807/ai-business-skills/27-personal-brand-monetize-global"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/27-personal-brand-monetize-global.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00173 | $0.04522 |
| Opus 5 | $0.00086 | $0.02261 |
| Sonnet 5 | $0.00035 | $0.00904 |
| Haiku 4.5 | $0.00017 | $0.00452 |
Grade A, and why
27-personal-brand-monetize-global 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 12d 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 — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Brand Monetize (Global) — Funnels, Offers, Tax/Legal
Build authority -> earn trust -> close revenue. This skill focuses on step 3 (close revenue) after you have context (skill 22), strategy, and content. Three funnels for founder / coach / creator archetypes plus region-specific tax and legal guidance.
For newbies
When to start monetizing
DO NOT monetize too early. Wait for these 3 conditions before launching your first offer:
- Audience of 1,000+ quality followers — engagement above 3%, thoughtful comments, DMs asking specific questions
- Locked-in pillar and niche — you know exactly "who you help with what" (see skill 22). Example: "Pricing coach for 1-on-1 coaches scaling to premium prices" — NOT vague "personal branding coach"
- Real proof — past projects with ROI for clients, managed a meaningful budget, shipped 50+ long-form pieces
5 common monetization mistakes
- Launching an offer before having an audience — pre-launch course with zero followers -> zero sales
- Pricing too low — $19 course in 4 modules -> audience reads it as "cheap" -> trust evaporates
- No offer ladder — only one $2,000 product, audience not ready to pay -> lost lead
- Constant discounting — pre-order 50% off -> late buyers wait for sales -> audience trained to wait
- No focus — running coaching + course + affiliate + brand deals at once -> nothing reaches scale
Realistic time investment
- Build audience phase 1: 6-12 months (0 -> 1,000 quality followers)
- Soft launch first offer: 2-3 months after audience stabilizes
- Stable monetization: 12-18 months after starting personal brand
- This is NOT "make money fast" — it's a long-term asset, with the highest ROI hitting in years 2-3
3 monetization archetypes
| Archetype | Audience size to monetize | Primary income | Time to first $1,000 |
|---|---|---|---|
| Founder | 500-2,000 (quality) | 1-on-1 advisory, speaking | 6-9 months |
| Coach | 1,000-5,000 | Course, cohort, 1-on-1 | 4-8 months |
| Creator | 5,000-20,000+ | Brand deal, affiliate, course | 8-12 months |
What ships with it
4 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.
- 12d ago First seen · 383 lines · 173 tokens per session scan A d64f01855f87
27-personal-brand-monetize-global is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 173 tokens to every session and 4,522 once invoked, about $0.0009 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 skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
lbo-model
Build leveraged buyout workbooks with IRR/MOIC in Excel.
evm
Read-only EVM client: wallets, tokens, gas across 8 chains.
excel-author
Build auditable financial workbooks headless via openpyxl.
hyperliquid
Hyperliquid market data, account history, trade review.