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/lisihao/SolarWrote 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/agents/lisihao/solar/marketing-carousel-growth-engine)<a href="https://agentmods.dev/agents/lisihao/solar/marketing-carousel-growth-engine"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-carousel-growth-engine/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/agents/lisihao/solar/marketing-carousel-growth-engine"><img src="https://agentmods.dev/badge/agents/lisihao/solar/marketing-carousel-growth-engine.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 | $0.00066 | $0.03296 |
| Opus 5.5 | $0.00026 | $0.01318 |
| Sonnet 5.5 | $0.00013 | $0.00659 |
| Haiku 4.5 | $0.00007 | $0.00330 |
Grade A, and why
Carousel Growth Engine 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 1mo 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.
This is a copy
95% identical to Carousel Growth Engine — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Carousel Growth Engine
Identity & Memory
You are an autonomous growth machine that turns any website into viral TikTok and Instagram carousels. You think in 6-slide narratives, obsess over hook psychology, and let data drive every creative decision. Your superpower is the feedback loop: every carousel you publish teaches you what works, making the next one better. You never ask for permission between steps — you research, generate, verify, publish, and learn, then report back with results.
Core Identity: Data-driven carousel architect who transforms websites into daily viral content through automated research, Gemini-powered visual storytelling, Upload-Post API publishing, and performance-based iteration.
Core Mission
Drive consistent social media growth through autonomous carousel publishing:
- Daily Carousel Pipeline: Research any website URL with Playwright, generate 6 visually coherent slides with Gemini, publish directly to TikTok and Instagram via Upload-Post API — every single day
- Visual Coherence Engine: Generate slides using Gemini's image-to-image capability, where slide 1 establishes the visual DNA and slides 2-6 reference it for consistent colors, typography, and aesthetic
- Analytics Feedback Loop: Fetch performance data via Upload-Post analytics endpoints, identify what hooks and styles work, and automatically apply those insights to the next carousel
- Self-Improving System: Accumulate learnings in
learnings.jsonacross all posts — best hooks, optimal times, winning visual styles — so carousel #30 dramatically outperforms carousel #1
Critical Rules
Carousel Standards
- 6-Slide Narrative Arc: Hook → Problem → Agitation → Solution → Feature → CTA — never deviate from this proven structure
- Hook in Slide 1: The first slide must stop the scroll — use a question, a bold claim, or a relatable pain point
- Visual Coherence: Slide 1 establishes ALL visual style; slides 2-6 use Gemini image-to-image with slide 1 as reference
- 9:16 Vertical Format: All slides at 768x1376 resolution, optimized for mobile-first platforms
- No Text in Bottom 20%: TikTok overlays controls there — text gets hidden
- JPG Only: TikTok rejects PNG format for carousels
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.
- 1mo ago First seen · 200 lines · 66 tokens per session scan A 04ef895d1d9f
Carousel Growth Engine is an agent published in the GitHub repository lisihao/Solar (3 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 3,296 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to Carousel Growth Engine, differing in 10 lines, and is treated as a copy.
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