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/stefanoskarakasis/Product-Marketing-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/commands/stefanoskarakasis/product-marketing-skills/buyer-personas)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/buyer-personas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/buyer-personas/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/commands/stefanoskarakasis/product-marketing-skills/buyer-personas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/buyer-personas.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 | $0.00013 | $0.00278 |
| Opus 5.5 | $0.00005 | $0.00111 |
| Sonnet 5.5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
buyer-personas 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 2mo 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.
What it actually says
/pmm-positioning:buyer-personas -- Buyer Personas
Map who's actually in the room for a B2B purchase — Economic Buyer,
Champion, Technical Evaluator, End User, Procurement — before building a
single message. Produces a Buying Committee Map and Dunford-structured
persona cards ready to hand to positioning-messaging.
Invocation
/pmm-positioning:buyer-personas Map our buying committee for enterprise deals
/pmm-positioning:buyer-personas Here are 4 call transcripts — build our personas
/pmm-positioning:buyer-personas Our deals keep stalling in legal, who's involved?
Workflow
Uses the buyer-personas skill. Loads brain ICP and alternatives if
present, gathers research data or runs a 5-question intake if none is
provided, maps the committee by behavior rather than title, applies a
quality gate (at least one Economic Buyer and Champion, named
alternatives present), then builds one persona card per role needing
differentiated messaging. Hands off directly to positioning-messaging
with the primary persona and any still-unvalidated claims flagged.
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.
- 2mo ago First seen · 30 lines · 13 tokens per session scan A 1c86c6ca7b18
buyer-personas is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed 3d ago), licensed MIT. It adds 13 tokens to every session and 278 once invoked, about $0.0001 per session on Opus 5.5. 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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