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/experiment-ideas)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/experiment-ideas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/experiment-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/experiment-ideas"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/experiment-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 | $0.00026 | $0.00333 |
| Opus 5 | $0.00013 | $0.00167 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
experiment-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 8d 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-growth:experiment-ideas -- Experiment Ideas
Generate a ranked list of concrete growth ideas — not generic tactics —
grounded in your brain's ICP, alternatives, and market context. Each idea
gets a channel, a core message, why it works for this specific ICP, and
a concrete cost-efficiency reason. Hands off explicitly to
experiment-doc for whichever idea is worth pressure-testing.
Invocation
/pmm-growth:experiment-ideas Give me 5 ideas for our Q4 launch
/pmm-growth:experiment-ideas We have almost no budget — what should we try?
/pmm-growth:experiment-ideas Brainstorm growth tactics that beat [named alternative]
Workflow
Uses the experiment-ideas skill. Loads brain Sections 1/2/3/5 if
present, asks for budget/resource constraints and channels already
tried, generates the requested number of ideas (default 5) each with
Channel/Core Message/Why It Works/Cost Efficiency, self-checks every idea
against named alternatives — flagging anything indistinguishable from
what a status-quo competitor already says — ranks by effort vs. impact,
then closes with an explicit handoff naming which idea(s) are strong
enough for experiment-doc and a session log to
/context/skill-sessions.md.
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.
- 8d ago First seen · 33 lines · 26 tokens per session scan A 3b3b2f016e03
experiment-ideas is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 333 once invoked, about $0.0001 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 2026-09-04.
Other commands, from other repositories
brief-me
Get briefed — loads your full memory, pulls live state from all connected tools, surfaces risks, staleness, upcoming milestones, and gives you a prioritized briefing so you're never starting blank.
design-ai-feature
Design an AI-powered feature end-to-end — model selection, prompt architecture, eval framework, failure modes, cost modeling, and improvement flywheel.
competitive-intel
Run a competitive intelligence analysis — landscape mapping, battlecards, 7 Powers moat comparison, positioning gaps, and monitoring plan.
discover
Run a full discovery cycle — problem framing, JTBD demand-side analysis, assumption mapping, opportunity sizing, and OST mapping — from a rough idea to validated opportunity.
retro
Run a post-ship retrospective — measure outcomes vs. predictions, extract lessons, update memory, and feed insights back into the PM system.
setup-metrics
Set up your metrics framework — North Star selection, funnel definition, dashboard structuring, and A/B test design for your key bets.