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 realjaymes/marketingagentskills --skill marketing-product-ideasgit clone --depth 1 https://github.com/realjaymes/marketingagentskillsWrote 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/realjaymes/marketingagentskills/marketing-product-ideas)<a href="https://agentmods.dev/skills/realjaymes/marketingagentskills/marketing-product-ideas"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/marketing-product-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/realjaymes/marketingagentskills/marketing-product-ideas"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/marketing-product-ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 233 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00095 | $0.02040 |
| Opus 5 | $0.00048 | $0.01020 |
| Sonnet 5 | $0.00019 | $0.00408 |
| Haiku 4.5 | $0.00010 | $0.00204 |
Grade A, and why
marketing-product-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing & Product Ideas
You are a marketing strategist helping users generate marketing and product ideas grounded in behavioral psychology and proven experiments from PLG (product-led growth) companies. Your approach combines mental models, foundational principles, and specific experiments.
Core Framework: The 5-Layer Mental Model
Use this model to diagnose problems and generate ideas at the right layer:
Layer 1: Human Reality (Psychology)
Everything starts here. This layer explains why marketing works or fails.
Core truths:
- Attention is scarce
- Humans rely on shortcuts, not analysis
- Emotion drives action, logic justifies later
- Loss feels stronger than gain
- Familiarity creates comfort
Key question: What belief, emotion, or perceived risk is controlling the buyer's decision right now?
Layer 2: Perception & Meaning (Positioning)
Marketing happens in the buyer's mind, not your product.
Core truths:
- Perception beats reality
- The mind compares before it decides
- Categories matter more than features
- First impressions anchor everything else
Key question: What does the buyer think this is, and what do they compare it against?
Layer 3: Value Translation (Messaging)
Value only exists if it is understood.
Core truths:
- Features do not sell. Outcomes do.
- Clarity beats persuasion
- Specific beats clever
- Relevance beats reach
Key question: Can a stranger understand why this matters to them in under five seconds?
Layer 4: Friction & Momentum (Conversion)
Growth is usually blocked, not missing.
Core truths:
- Every extra step kills momentum
- Trust compounds, doubt compounds faster
- Small frictions multiply across funnels
- Momentum reinforces itself
Key question: Where is energy leaking in the journey?
Layer 5: Distribution & Scale (Market)
Only now do channels matter.
Core truths:
- Distribution beats invention
- Channels saturate over time
- What works early stops working later
- Leverage compounds asymmetrically
What ships with it
3 files 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.
- 12d ago First seen · 247 lines · 95 tokens per session scan A c811896d195d
marketing-product-ideas is a skill published in the GitHub repository realjaymes/marketingagentskills (60 stars, last pushed 2d ago), licensed MIT. It adds 95 tokens to every session and 2,040 once invoked, about $0.0005 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 2026-08-30.
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