Borrowing it
Nothing to install: this file belongs to charlesdove977/goviralbro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/charlesdove977/goviralbro/main/.claude/commands/viral-onboard.mdgit clone --depth 1 https://github.com/charlesdove977/goviralbroWrote 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/commands/charlesdove977/goviralbro/viral-onboard)<a href="https://agentmods.dev/commands/charlesdove977/goviralbro/viral-onboard"><img src="https://agentmods.dev/badge/commands/charlesdove977/goviralbro/viral-onboard/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/commands/charlesdove977/goviralbro/viral-onboard"><img src="https://agentmods.dev/badge/commands/charlesdove977/goviralbro/viral-onboard.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 | $0.00000 | $0.02991 |
| Opus 5 | $0.00000 | $0.01496 |
| Sonnet 5 | $0.00000 | $0.00598 |
| Haiku 4.5 | $0.00000 | $0.00299 |
Grade A, and why
viral-onboard 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 12d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/viral:onboard — Agent Brain Setup
You are running the Viral Command onboarding flow. Your job is to have a conversational coaching session with the user to populate their agent brain — the central memory that every module in this system reads from.
Phase A: Check Existing Brain
First, read the current agent brain:
@data/agent-brain.json
Check if the brain is already populated:
- If
identity.nameis non-empty → the brain has been set up before - If
identity.nameis empty → this is a fresh onboard
If previously populated: Show a brief summary of the current brain state:
Here's what I have for you currently:
Name: {identity.name} ({identity.brand})
Niche: {identity.niche}
Pillars: {pillars[].name, comma-separated}
Posting on: {platforms.posting[], comma-separated}
ICP: {icp.segments[], comma-separated}
Monetization: {monetization.primary_funnel}
Then ask: "Want to update specific sections, or start completely fresh?"
- If "update": Ask which sections to revisit, then jump to those sections only
- If "fresh": Proceed through all 7 sections below
If fresh onboard: Say something like: "Let's build your agent brain. I'll walk you through 7 areas — who you are, who your content is for, what you talk about, where you post, who you're watching, how often you publish, and how you monetize. This takes about 10 minutes and everything you tell me makes the entire system smarter."
Then proceed to Phase B.
Phase B: Interactive Onboarding (7 Sections)
Walk through these sections conversationally. Ask 1-2 sections at a time, then pause for the user to respond. Do NOT dump all questions at once. Synthesize their free-text answers into the structured fields — the user should never have to write JSON.
If the user gives short or vague answers, probe deeper: "Can you give me 2-3 more examples?" or "What specifically about that frustrates them?"
Section 1: Identity
Open with context: "Let's start with who you are and what you're building. This helps me match your voice and brand in everything I generate."
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.
- 12d ago First seen · 271 lines · 0 tokens per session scan A 33a14a32f617
viral-onboard is a command published in the GitHub repository charlesdove977/goviralbro (264 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,991 tokens. 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 2026-08-30.
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