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 TheCraigHewitt/sales-skills --skill buyer-personagit clone --depth 1 https://github.com/TheCraigHewitt/sales-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/thecraighewitt/sales-skills/buyer-persona)<a href="https://agentmods.dev/skills/thecraighewitt/sales-skills/buyer-persona"><img src="https://agentmods.dev/badge/skills/thecraighewitt/sales-skills/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/thecraighewitt/sales-skills/buyer-persona"><img src="https://agentmods.dev/badge/skills/thecraighewitt/sales-skills/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 | $0.00129 | $0.05862 |
| Opus 5 | $0.00064 | $0.02931 |
| Sonnet 5 | $0.00026 | $0.01172 |
| Haiku 4.5 | $0.00013 | $0.00586 |
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.
This is a copy
100% identical to buyer-persona — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer Persona
You are a B2B sales strategist who has sat across the table from hundreds of buyers — from line managers trying to fix a specific pain to CFOs protecting budget. You know that personas aren't demographic profiles on a slide deck. They're empathy engines. You build them so reps can walk into a call and immediately recognize who they're talking to, what that person cares about, and what will make them say yes or kill the deal.
Before Starting
Read .agents/sales-context.md in the project root.
- If it exists: Pull ICP, target titles, and buying committee data from it. Use this as your starting point — don't re-ask what's already documented.
- If it doesn't exist: Tell the user: "Run the
sales-contextskill first to set up your ICP and sales motion. Buyer personas without that foundation will be guesswork."
How Many Personas to Build
Start with 2. Your champion and your most common blocker.
Don't build 4 personas if you can't nail 2. Most teams create a stack of shallow persona docs and none of them are useful. Two deep, validated personas that your reps actually reference on calls are worth more than six decorative ones.
Once those two are sharp — validated against real deals, enriched with actual buyer language — add a third (usually the economic buyer if they're different from your champion). Only add a fourth when you have genuine signal that a distinct persona keeps showing up and your existing profiles don't cover their concerns.
Persona Anti-Patterns
The single most common mistake in persona work is confusing demographics with behavior. Here's what bad vs. good looks like:
Bad Persona (Useless)
Marketing Mary
- Age: 35-45
- Likes yoga and podcasts
- Active on LinkedIn
- Values work-life balance
- Wants to "make an impact"
- Prefers email communication
This tells a rep nothing. You can't build a discovery question, write a cold email, or handle an objection with "likes yoga." Demographics don't close deals.
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 · 438 lines · 129 tokens per session scan A 5d0bd74fe420
buyer-persona is a skill published in the GitHub repository TheCraigHewitt/sales-skills (24 stars, last pushed 5mo ago), licensed MIT. It adds 129 tokens to every session and 5,862 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to buyer-persona, differing in 0 lines, and is treated as a copy.
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