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/homepage)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/homepage"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/homepage/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/homepage"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/homepage.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 | $0.00008 | $0.00152 |
| Opus 5 | $0.00004 | $0.00076 |
| Sonnet 5 | $0.00002 | $0.00030 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
homepage 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 3d 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
Load writing-assistant. Reference .agents/product-marketing-context.md — load Positioning (today column), ICP #1, Perceptions, Brand Voice, Customer Language, Proof Points.
Mode: homepage / landing page. This is external-facing positioning copy. Headline must answer: who it's for + what it does + why it's better, in 10 words or fewer. Subheadline expands the headline — don't repeat it. Every section must check against the Positioning table and at least one Perception. Apply verbatim customer language from the glossary where natural. Challenge: "Could a competitor paste this about their product?" If yes, rewrite.
Page section or full brief: $ARGUMENTS
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.
- 3d ago First seen · 16 lines · 8 tokens per session scan A 3e536735ca8e
homepage is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed today), licensed MIT. It adds 8 tokens to every session and 152 once invoked, about $0.0000 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 2026-09-09.
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