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-ideas)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/positioning-ideas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/positioning-ideas/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-ideas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/positioning-ideas.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 | $0.00000 | $0.00175 |
| Opus 5 | $0.00000 | $0.00088 |
| Sonnet 5 | $0.00000 | $0.00035 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
positioning-ideas 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 4d 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
Generate 3-5 divergent, ungated positioning angle options for $ARGUMENTS,
each anchored to a specific named alternative from brain Section 3 and
the unclaimed territory it opens. Requires 3+ named alternatives
including status quo — hard-blocks and directs to hs-alternatives-map
if that isn't in place yet.
Runs the full positioning-ideas flow: confirm segment (pulled from a
recent beachhead-segment/buyer-personas session if one exists) → map
unclaimed territory per alternative → generate options → check for real
divergence, flagging near-duplicates → Learning Close.
Output is disposable brainstorm breadth, not shippable copy — the
strongest option still needs positioning-messaging BUILD mode's
7-point gate before it becomes real positioning.
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.
- 4d ago First seen · 15 lines · 0 tokens per session scan A adb206abd762
positioning-ideas is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 175 tokens. 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 2026-09-08.
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discover
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retro
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setup-metrics
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