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 Ad-Superpowers/ad-superpowers-plugin --skill buyer-persona-frameworkgit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/buyer-persona-framework)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/buyer-persona-framework"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/buyer-persona-framework/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/ad-superpowers/ad-superpowers-plugin/buyer-persona-framework"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/buyer-persona-framework.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 | $0.00082 | $0.04695 |
| Opus 5 | $0.00041 | $0.02348 |
| Sonnet 5 | $0.00016 | $0.00939 |
| Haiku 4.5 | $0.00008 | $0.00470 |
Grade A, and why
buyer-persona-framework 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 10d 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 — 580 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer Persona Framework for Advertising
Purpose
Help advertisers create actionable buyer personas that translate directly into ad platform targeting parameters. Moves beyond generic "marketing personas" to advertising-ready audience definitions.
When to Use This Skill
Invoke when user mentions:
- Persona creation: "Help me create buyer personas"
- Audience definition: "Who should we target?"
- Targeting translation: "How do I target this persona in Meta/Google?"
- Segmentation: "How do I segment my audience?"
- ICP (Ideal Customer Profile): B2B persona discussions
The Advertising Persona Framework
Standard Marketing Persona vs. Ad-Ready Persona
| Standard Persona | Ad-Ready Persona |
|---|---|
| "Sarah, 35, marketing manager" | Demographics + Platform behaviors |
| "Likes yoga and coffee" | Targetable interests & behaviors |
| "Values work-life balance" | Purchase triggers & timing |
| "Pain point: too busy" | Keywords searched, content consumed |
| Generic description | Platform-specific targeting parameters |
The 7 Components of an Ad-Ready Persona
┌──────────────────────────────────────────────────────────────────────────────┐
│ AD-READY PERSONA FRAMEWORK │
├──────────────────────────────────────────────────────────────────────────────┤
│ │
│ 1. IDENTITY ───────────────────────────────────────────────────── │
│ Name, archetype, one-line summary │
│ │
│ 2. DEMOGRAPHICS ───────────────────────────────────────────────────── │
│ Age, gender, location, income, education, job (B2B) │
│ → Directly maps to platform targeting │
│ │
│ 3. PSYCHOGRAPHICS ───────────────────────────────────────────────────── │
│ Values, personality, interests, lifestyle │
│ → Maps to interest & affinity targeting │
│ │
│ 4. PAIN POINTS & GOALS ────────────────────────────────────────────────── │
│ What they're trying to achieve/avoid │
│ → Informs messaging and creative │
│ │
│ 5. BUYING BEHAVIOR ───────────────────────────────────────────────────── │
│ Decision drivers, objections, triggers │
│ → Informs funnel strategy and timing │
│ │
│ 6. PLATFORM BEHAVIOR ───────────────────────────────────────────────────── │
│ Where they spend time, content preferences, device │
│ → Informs platform selection and placement │
│ │
│ 7. TARGETING PARAMETERS ───────────────────────────────────────────────── │
│ Ready-to-use platform targeting │
│ → Copy directly into ad platforms │
│ │
└──────────────────────────────────────────────────────────────────────────────┘
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.
- 10d ago First seen · 580 lines · 82 tokens per session scan A 041743cb0174
buyer-persona-framework is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 12d ago), licensed MIT. It adds 82 tokens to every session and 4,695 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 2026-08-31.
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