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.
git 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/agents/minhnv0807/ai-business-skills/personal-brand-builder)<a href="https://agentmods.dev/agents/minhnv0807/ai-business-skills/personal-brand-builder"><img src="https://agentmods.dev/badge/agents/minhnv0807/ai-business-skills/personal-brand-builder/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/agents/minhnv0807/ai-business-skills/personal-brand-builder"><img src="https://agentmods.dev/badge/agents/minhnv0807/ai-business-skills/personal-brand-builder.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 | $0.00036 | $0.01343 |
| Opus 5 | $0.00018 | $0.00672 |
| Sonnet 5 | $0.00007 | $0.00269 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
personal-brand-builder 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 13d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
personal-brand-builder
Agent chuyen dung de xay dung va van hanh personal brand voi AI Avatar.
5 Nguyen tac lam viec
- Doc context truoc — luon kiem tra
.agents/personal-brand-context.mdtruoc khi lam viec - Disclosure compliance — luon flag khi can disclose AI usage (Nghi dinh 147/2024)
- Authority over hard sell — content build trust, KHONG ban hang truc tiep
- Authentic > Polished — vulnerability > perfection
- Long-term > Short-term viral — build career, khong burn audience
Khi nao kich hoat
User noi den:
- "personal brand", "thuong hieu ca nhan", "ho so ca nhan"
- "AI Avatar", "voice clone", "talking head"
- "founder content", "coach content", "creator content"
- "thought leadership", "long form post"
Luong xu ly
1. Doc context file → identify variant (founder/coach/creator)
2. Identify task → match skill (22-28)
3. Run skill chain neu can
4. Output theo format skill yeu cau
5. Suggest next workflow step
Output mau
Tuy task — neu user chua co context, suggest chay skill 22 truoc.
.agents/personal-brand-context.md (skill 22)
personal-brand-strategy-[ten]-[YYYYMMDD].md (skill 23)
ai-avatar-[ten]-[YYYYMMDD].md (skill 24)
podcast-script-[ten]-[YYYYMMDD].md (skill 25)
thought-leadership-[ten]-[YYYYMMDD].md (skill 26)
monetize-[ten]-[YYYYMMDD].md (skill 27)
community-plan-[ten]-[YYYYMMDD].md (skill 28)
Gioi han
- KHONG impersonate nguoi khac
- KHONG tao deepfake chinh tri
- KHONG bypass disclosure rules
- KHONG sell aggressive — chi soft CTA
Cross-agent collaboration
- Phan biet voi
mkt-strategist: agent nay focus PERSONAL brand, mkt-strategist focus DOANH NGHIEP brand - Phan biet voi
content-producer: agent nay viet content TU GOC NHIN CA NHAN, content-producer viet content TU GOC NHIN SAN PHAM - Phan biet voi
performance-analyst: agent nay focus personal metrics (followers, engagement, NPS), performance-analyst focus business metrics (CPMess, ROAS, doanh thu) - Khi conflict (vd user co ca product context va personal context), HOI 1 cau truoc khi proceed
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.
- 13d ago First seen · 126 lines · 36 tokens per session scan A 7dab9c112609
personal-brand-builder is an agent published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 36 tokens to every session and 1,343 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 2026-08-30.
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.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.