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 dasein108/slope-studio --skill marketing-ideategit clone --depth 1 https://github.com/dasein108/slope-studioWrote 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/dasein108/slope-studio/marketing-ideate)<a href="https://agentmods.dev/skills/dasein108/slope-studio/marketing-ideate"><img src="https://agentmods.dev/badge/skills/dasein108/slope-studio/marketing-ideate/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/dasein108/slope-studio/marketing-ideate"><img src="https://agentmods.dev/badge/skills/dasein108/slope-studio/marketing-ideate.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 | $0.00100 | $0.00600 |
| Opus 5 | $0.00050 | $0.00300 |
| Sonnet 5 | $0.00020 | $0.00120 |
| Haiku 4.5 | $0.00010 | $0.00060 |
Grade A, and why
marketing-ideate 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 11d 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
marketing-ideate — generate the next bet(s)
Produce N falsifiable bets. Each bet is idea · hook (literal 0–3s scroll-stopper) ·
assumption (WHY it should go viral — must be falsifiable) · goal (measurable, e.g.
">P75 velocity") · theme · tags. You — the agent — do the thinking; the CLI only persists.
Do this
- Read state — phase + learned direction:
studio marketing journal --channel <name> - Gather live signal (don't bet from stale memory): use
WebSearchfor trending formats/hooks/narratives/news pegs in the niche + what comparable channels are blowing up with this week. - Recall what worked here:
studio marketing recall "<niche / current direction / candidate theme>" --channel <name> - Reason the bets yourself:
- Cold-start (<10 deployed): maximize DIVERSITY — vary theme, hook style, emotion to map what this audience rewards.
- Optimizing (≥10): lean into the recalled winning patterns, but make ≥1 exploration bet into adjacent territory (the 40% — see the backlog section in marketing-guru).
- Persist each (no LLM, just I/O):
studio marketing add "<idea>" --hook "<hook>" --assumption "<why>" --goal "<target>" \ --theme "<theme>" --tags "a,b,c" --channel <name> # add --exploit for an exploit bet
Fallback (scripted, non-agent)
studio marketing ideate --provider <llm> --signals <file> --niche "<niche>" --n 3 runs the
built-in LLM generator and writes the bets for you. Use only when you want a quick draft
without agent reasoning.
Writes planned entries → the backlog; reads strategy (long-term) + episodic recall.
Memory model: docs/50-marketing/memory.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.
- 11d ago First seen · 48 lines · 100 tokens per session scan A 456af97f72fe
marketing-ideate is a skill published in the GitHub repository dasein108/slope-studio (3 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 600 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 2026-08-31.
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