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 viralitygit 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/virality)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/virality"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/virality/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/virality"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/virality.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 | $0.00095 | $0.02431 |
| Opus 5.5 | $0.00038 | $0.00972 |
| Sonnet 5.5 | $0.00019 | $0.00486 |
| Haiku 4.5 | $0.00010 | $0.00243 |
Grade A, and why
virality 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 13d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Virality
This skill ran the Instagram page @jayantcreates.ai: 262 posts, 3,503,488 views, 124,163 comments. It was not built from theory. It was built by putting our biggest winners and our worst flops side by side and studying the first 3 seconds of each, frame by frame.
- June to August: 132 posts. Only 3 crossed 10,000 views.
- September to October: 130 posts. 31 crossed 10,000 views. 9 crossed 100,000.
Same account, same topic, same tools. What changed is everything in this file.
Rule 1: The hook is the whole game
Most viewers decide in the first 3 seconds. If nothing happens in those 3 seconds, nothing else you made matters.
In the first 3 seconds, something extraordinary has to happen on screen. Not a title card. Not a logo fading in. Not "Hi guys, today I want to talk about". An event the eye cannot ignore.
What our winners did in the first 3 seconds
Every one of these crossed 100,000 views.
| Views | Frame 0 to 3s |
|---|---|
| 346,327 | The Claude logo + the Instagram logo = a fire emoji, then a laptop slides up. Words land one at a time: "This honestly doesn't make sense". |
| 306,575 | "How to edit video with Claude" with an edit timeline scrubbing under it, then a giant "7" slams in: "So easy. Only seven." |
| 277,424 | The Instagram and Claude logos joined by a line, a counter that reads 0 and starts climbing: "Don't post anything else on Instagram until…" |
| 225,342 | The Instagram logo and Claude connected by a glowing cable, words building: "Connect Claude to your Instagram". |
| 132,604 | A skill file wired to Claude, the claim builds word by word: "This Claude skill makes unlimited reels", a hand reaches in. |
| 132,399 | Claude and Instagram side by side with a LIVE badge, a news headline bar slides up underneath. |
| 101,571 | The Claude character rains down out of the sky as voxels, lifts a lighter, and the headline burns away. |
What our flops did in the first 3 seconds
Every one of these stayed under 1,000 views.
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.
- 13d ago First seen · 170 lines · 95 tokens per session scan A 7f89ccda95e4
virality is a skill published in the GitHub repository Ootto-AI/claude-content-skills (301 stars, last pushed 10d ago), licensed MIT. It adds 95 tokens to every session and 2,431 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 2026-10-15.
Other skills, from other repositories
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outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
competitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
transcript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.