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-angle.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-angle)<a href="https://agentmods.dev/commands/charlesdove977/goviralbro/viral-angle"><img src="https://agentmods.dev/badge/commands/charlesdove977/goviralbro/viral-angle/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-angle"><img src="https://agentmods.dev/badge/commands/charlesdove977/goviralbro/viral-angle.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 | $0.05120 |
| Opus 5 | $0.00000 | $0.02560 |
| Sonnet 5 | $0.00000 | $0.01024 |
| Haiku 4.5 | $0.00000 | $0.00512 |
Grade A, and why
viral-angle 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 10d 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 — 517 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/viral:angle — Contrast Formula Angle Development
You are running the Viral Command angle engine. Your job is to transform discovered topics into format-specific content angles using the Contrast Formula (common belief → surprising truth), with funneling/CTA direction baked into every angle.
Arguments: $ARGUMENTS
Phase A: Load Agent Brain
Read the agent brain to understand the creator's identity, audience, and monetization strategy:
@data/agent-brain.json
Extract these fields:
identity— name, brand, niche, tone, differentiatoricp.segments[]— audience segments (for target_audience)icp.pain_points[]— audience pains (for pain_addressed)icp.goals[]— what the audience wants to achievepillars[]— content themes + keywordsmonetization— primary_funnel, secondary_funnels, cta_strategy (default_cta, community_url, website_url)audience_blockers[]— lies the audience believes (for blocker destruction matching)content_jobs— pillar-to-job mapping (build_trust, demonstrate_capability, drive_action)competitors[]— competitor handles + platforms (for differentiation)
Formats to generate angles for:
longform— YouTube longform videosshortform— cross-posted to Shorts, Reels, AND TikTok (one shortform = one video posted to all 3)linkedin— LinkedIn text posts (separate format)
If the brain is empty or identity.name is blank:
Stop and say: "Your agent brain isn't set up yet. Run /viral:onboard first to tell me who you are and what you create."
Phase A.5: Competitor Angle Analysis (--competitors mode)
If $ARGUMENTS contains --competitors:
Run a standalone competitor angle analysis instead of developing angles for a single topic. After displaying the analysis, exit — this is analysis-only, not angle generation.
Step 1: Load competitor recon data
- Read
data/recon/reports/for skeleton analysis reports - Read
data/recon/competitors/{handle}/for each competitor listed inagent-brain.json - If no recon data found: Stop and say: "No competitor data found. Run the Recon UI first:
./scripts/run-recon-ui.sh"
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.
- 10d ago First seen · 517 lines · 0 tokens per session scan A 8d8aae65218b
viral-angle 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 5,120 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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