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/positioning-messaging)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/positioning-messaging"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/positioning-messaging/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/positioning-messaging"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/positioning-messaging.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 | $0.00011 | $0.00263 |
| Opus 5.5 | $0.00004 | $0.00105 |
| Sonnet 5.5 | $0.00002 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00026 |
Grade A, and why
positioning-messaging 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:positioning-messaging -- Positioning & Messaging
Build or audit positioning using the full Dunford sequence. Supports five output modes — say what you need and the right mode runs automatically:
- A new positioning statement and messaging hierarchy → build
- A score and rewrite queue for existing messaging → audit
- An internal positioning deck → fletch
- Sales persona cards and a competitive response guide → sales-enablement
- Production-ready homepage copy → homepage
Invocation
/pmm-positioning:positioning-messaging Build positioning for our new tier
/pmm-positioning:positioning-messaging Audit our current homepage copy
/pmm-positioning:positioning-messaging I need sales cards for this competitor
Workflow
Uses the positioning-messaging skill. Detects which of the five modes
fits the request, refuses to run without a named primary persona and at
least three alternatives (including status quo), and blocks output
until a 7-point self-verification gate passes.
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 · 32 lines · 11 tokens per session scan A 67791bc79e0c
positioning-messaging is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 263 once invoked, about $0.0000 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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