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 Ootto-AI/claude-content-skills --skill viral-carouselgit clone --depth 1 https://github.com/Ootto-AI/claude-content-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/ootto-ai/claude-content-skills/viral-carousel)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/viral-carousel"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/viral-carousel/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/ootto-ai/claude-content-skills/viral-carousel"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/viral-carousel.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 | $0.00090 | $0.00926 |
| Opus 5.5 | $0.00036 | $0.00370 |
| Sonnet 5.5 | $0.00018 | $0.00185 |
| Haiku 4.5 | $0.00009 | $0.00093 |
Grade A, and why
viral-carousel 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 19d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Viral Carousel - find the winners, then build yours on their structure
Making a carousel with Claude is the easy part. Knowing which carousel to make is the hard part. This skill does the hard part first: it finds what your niche is already saving, then builds yours on that shape.
When to use
Before you post any carousel. Also when a carousel in your niche blew up and you want yours built the same way.
What you'll need
Your niche, 5-10 accounts you compete with (or carousel links), and your topic. For live numbers: the Instagram connector (Composio, or Ootto at ootto.ai) so Claude can read posts and counts.
Instructions
- Find. Pull the last 30-50 posts of each account (Instagram Graph API
business_discovery, the Composio Instagram tools, or the links the user pastes). Keep only carousels. - Rank. For each account, compute its median likes + comments. Mark a carousel viral when it beats its own account median by 3x or more. A small account's 3x beats a big account's average, because it proves the post, not the follower count.
- Fetch. For the top 3-5 viral carousels, download every slide and the caption.
- Break down. Run this on each one:
You are my carousel analyst. Here are the slides and caption of a carousel that went viral: [SLIDES + CAPTION].
For every slide give me: its job (hook / payoff / proof / step / summary / ask), the words on it, and why it is there.
Then tell me:
- Slide 1: what makes it stop the scroll (claim, number, contrast, question).
- Where the proof sits, and what kind it is (a result, a screenshot, a number).
- The slide people save, and why they would.
- Where the ask is, and what it asks for.
- The slide count and the reading rhythm (one idea per slide or not).
Finish with the STRUCTURE as a numbered list of slide jobs, with no topic words in it.
- Build. Hand the structure to carousel-builder:
Build my carousel on this proven structure: [STRUCTURE].
My topic: [TOPIC]. My audience: [WHO]. My ask: [save / follow / comment WORD].
Keep every slide's job. Write every word fresh in my voice. Use my colours, fonts and handle.
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.
- 19d ago First seen · 80 lines · 90 tokens per session scan A 1bc214249a73
viral-carousel is a skill published in the GitHub repository Ootto-AI/claude-content-skills (301 stars, last pushed 10d ago), licensed MIT. It adds 90 tokens to every session and 926 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-09.
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