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/marketing-content)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/marketing-content"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/marketing-content/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/marketing-content"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/marketing-content.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 | $0.00019 | $0.00393 |
| Opus 5.5 | $0.00008 | $0.00157 |
| Sonnet 5.5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
marketing-content 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 17d 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-toolkit:marketing-content -- Marketing Content
Draft marketing content in one of six formats: blog post, social post (name the platform), newsletter, landing page, press release, or case study. The skill reads your brain for audience, key messages, voice, and proof, so you are only asked for what is missing. It never invents statistics, quotes, customer names, or results: every gap becomes a visible placeholder you fill in.
Invocation
/pmm-toolkit:marketing-content blog post about our new reporting feature
/pmm-toolkit:marketing-content landing page for the Q4 webinar
/pmm-toolkit:marketing-content press release: we closed our Series A
/pmm-toolkit:marketing-content case study for Acme, 30% faster onboarding
/pmm-toolkit:marketing-content newsletter issue on this week's launch
/pmm-toolkit:marketing-content LinkedIn post about the launch
/pmm-toolkit:marketing-content audit [paste a draft to scan for AI patterns]
Workflow
Uses the writing-assistant skill in its Marketing content mode, or its Audit mode when
the first word is audit. It picks the format, takes inputs from your request and the
brain, asks once for anything still missing (or lists its assumptions if you say "just
draft it"), then drafts to that format's structure and checks the draft before showing it.
The output is the draft, a notes list (voice used, assumptions, placeholders to fill), and
one follow-up question.
For Slack messages, emails, memos, and rewrites, use /pmm-toolkit:write instead.
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.
- 17d ago First seen · 36 lines · 19 tokens per session scan A 9a3da360783b
marketing-content is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 393 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 2026-10-11.
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plan-okrs
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conjure
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