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.
npx skills add stefanoskarakasis/Product-Marketing-Skills --skill experiment-ideasgit 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/skills/stefanoskarakasis/product-marketing-skills/experiment-ideas)<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/experiment-ideas"><img src="https://agentmods.dev/badge/skills/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/skills/stefanoskarakasis/product-marketing-skills/experiment-ideas"><img src="https://agentmods.dev/badge/skills/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 | $0.00083 | $0.02379 |
| Opus 5 | $0.00042 | $0.01189 |
| Sonnet 5 | $0.00017 | $0.00476 |
| Haiku 4.5 | $0.00008 | $0.00238 |
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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Ideas
How This Works
Most idea-brainstorm output is five generic tactics that could belong to
any company — "post more on LinkedIn," "run a referral program." This
skill grounds ideation in what's actually known: who the ICP is, what
alternatives buyers compare against, and why now matters, so every idea
is specific enough to differentiate from what a status-quo competitor is
already doing. It doesn't write anything durable — generated ideas are
disposable brainstorm output, not a company fact — and it hands off
explicitly to experiment-doc (pmm-execution), which is where a chosen
idea gets pressure-tested before it becomes a real test.
Step 0 — Load brain Sections 1 (Product), 2 (ICP), 3 (Alternatives),
5 (Market Context) if present, and guardrails from
/context/meta-patterns.md.
Step 1 — Clarify constraints: budget or resource ceiling, channels already tried (and what happened), how many ideas wanted (default 5).
Step 2 — Generate ideas: each with Channel, Core Message, Why It Works (tied to ICP or market energy state when brain data exists), Cost Efficiency.
Step 3 — Self-check each idea against the ICP and named alternatives — an idea indistinguishable from what a status-quo competitor already does gets flagged, not silently kept.
Step 4 — Rank by effort-vs-impact, not generation order.
Step 5 — Learning Close: log the session to /context/skill-sessions.md.
Trigger
-
When: Brainstorming marketing or growth ideas, looking for low-budget/high-impact tactics, exploring channels before committing budget, or any "what should we try" moment before a specific hypothesis exists.
-
Not for: Pressure-testing a single idea you've already picked →
experiment-doc(pmm-execution), run this skill first only if you don't yet have a specific hypothesis to test. Rewriting an already-set positioning into segment-specific value-prop copy →value-prop-statements(pmm-growth), run this skill first only if you need raw campaign ideas, not copy variants of an existing statement. A full campaign brief with calendar, audience, and metrics →gaccs-brief. Channel or motion selection for a launch already scoped against ICP deal economics →gtm-motions. Writing the actual positioning statement or messaging hierarchy →positioning-messaging.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · +3 lines 39cc99f8e116
- 8d ago First seen · 251 lines · 83 tokens per session scan A 7b7a382ab493
experiment-ideas is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 2,379 once invoked, about $0.0004 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.
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