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 jbalbu01/sales-enablement-plugin --skill buyer-personagit clone --depth 1 https://github.com/jbalbu01/sales-enablement-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/jbalbu01/sales-enablement-plugin/buyer-persona)<a href="https://agentmods.dev/skills/jbalbu01/sales-enablement-plugin/buyer-persona"><img src="https://agentmods.dev/badge/skills/jbalbu01/sales-enablement-plugin/buyer-persona/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/jbalbu01/sales-enablement-plugin/buyer-persona"><img src="https://agentmods.dev/badge/skills/jbalbu01/sales-enablement-plugin/buyer-persona.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 | $0.00118 | $0.02902 |
| Opus 5 | $0.00059 | $0.01451 |
| Sonnet 5 | $0.00024 | $0.00580 |
| Haiku 4.5 | $0.00012 | $0.00290 |
Grade A, and why
buyer-persona 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer Persona
Build detailed, actionable buyer personas that help reps understand who they're selling to and what those people actually care about. Good personas aren't demographic profiles — they're empathy tools that help your team see the world through your buyer's eyes.
Why Personas Matter for Sales
- Reps who understand their buyer's daily reality build stronger rapport
- Messaging that speaks to specific pain points converts better than generic pitches
- Discovery is more productive when you know what questions to ask each persona
- Proposals land harder when they address the buyer's specific priorities
- Objection handling improves when you understand the buyer's real concerns
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ BUYER PERSONA │
├─────────────────────────────────────────────────────────────────┤
│ MODES │
│ 1. Build Persona — Create a detailed buyer persona from scratch │
│ 2. ICP Definition — Define ideal company + buyer characteristics│
│ 3. Buying Committee — Map all stakeholders in a typical deal │
│ 4. Persona Messaging — Create tailored messaging per persona │
│ 5. Journey Mapping — Map the buyer's journey and touchpoints │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone) │
│ • Web research on the role, industry, and common challenges │
│ • Your input on what you've observed from real customers │
│ • Industry benchmarks and trends │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + ~~CRM: Real deal data — who buys, company profiles, patterns │
│ + ~~data enrichment (ZoomInfo): Firmographic, technographic data│
│ + ~~data enrichment (ZoomInfo): Contact search by title/dept │
│ + ~~data enrichment (Clay): Person & company enrichment │
│ + ~~data enrichment (LinkedIn): Lead profiles, seniority data │
│ + ~~chat: Team observations about this buyer type │
└─────────────────────────────────────────────────────────────────┘
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 · 323 lines · 118 tokens per session scan A c653545785f7
buyer-persona is a skill published in the GitHub repository jbalbu01/sales-enablement-plugin (14 stars, last pushed 6mo ago), licensed MIT. It adds 118 tokens to every session and 2,902 once invoked, about $0.0006 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.
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