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 brainbytes-dev/everything-claude-marketing --skill viral-mechanicsgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/viral-mechanics)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/viral-mechanics"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/viral-mechanics/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/brainbytes-dev/everything-claude-marketing/viral-mechanics"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/viral-mechanics.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 | $0.00026 | $0.02753 |
| Opus 5.5 | $0.00010 | $0.01101 |
| Sonnet 5.5 | $0.00005 | $0.00551 |
| Haiku 4.5 | $0.00003 | $0.00275 |
Grade A, and why
viral-mechanics 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 2mo 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Viral Mechanics Design
When to Activate
- Designing product features intended to drive organic sharing and distribution
- Planning campaigns designed to spread through word-of-mouth or social sharing
- Building shareable content experiences (tools, calculators, quizzes, reports)
- Analyzing why something went viral and how to replicate it
- Increasing organic reach without proportional spend increases
- Making an existing product or feature more shareable
First Questions
- What type of virality are you designing for? (Inherent, collaborative, word-of-mouth, incentivized, manufactured)
- Who is the sharer and who is the audience? (Users sharing with peers, users sharing publicly, company sharing content)
- What is the natural sharing moment in your product or campaign?
- What platform(s) will the sharing happen on? (Email, SMS, social media, in-person)
- What does the recipient experience when they receive the share? (Landing page, app invite, content)
- What is the desired action from the recipient? (Sign up, view, purchase, reshare)
Types of Virality
1. Inherent Virality
The product requires others to be useful. Sharing IS using.
Examples: WhatsApp (need contacts), Venmo (need payment recipients), Google Docs (need collaborators), Zoom (need meeting attendees)
Design principles:
- The core use case involves other people.
- Non-users must interact with the product to complete the user's task.
- The non-user experience is good enough to convert them.
- Friction to join is extremely low.
2. Collaborative Virality
The product becomes more valuable when used with others, encouraging invitations.
Examples: Slack (better with your whole team), Figma (collaborative design), Notion (shared workspaces), Miro (team whiteboarding)
Design principles:
- Show the user what they're missing by working alone.
- Make inviting teammates part of the core workflow, not a side action.
- Give the inviter and the invitee immediate collaborative value.
- Build features that specifically require collaboration.
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.
- 2mo ago First seen · 254 lines · 26 tokens per session scan A 9a9c3357d7c2
viral-mechanics is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 2,753 once invoked, about $0.0001 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 2026-09-03.
viral-mechanics compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| viral-mechanicsbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |