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 MoizIbnYousaf/marketing-cli --skill churn-preventiongit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/churn-prevention)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/churn-prevention"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/churn-prevention/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/moizibnyousaf/marketing-cli/churn-prevention"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/churn-prevention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00159 | $0.02767 |
| Opus 5 | $0.00079 | $0.01384 |
| Sonnet 5 | $0.00032 | $0.00553 |
| Haiku 4.5 | $0.00016 | $0.00277 |
Grade A, and why
churn-prevention 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Churn Prevention
Purpose
Reduce churn across three stages: before they want to leave (health scoring + proactive outreach), while they're leaving (cancel flow + save offers), and after they've left (win-back campaigns). Plus dunning sequences for involuntary churn from failed payments.
Reads
brand/audience.md— Personas, pain points, what they value mostbrand/positioning.md— Value props for reinforcement in save offers and win-back copybrand/voice-profile.md— Brand voice for all cancel flow and email copy
Brand Integration
- audience.md — Churn signals vary by persona. Power users churn from missing features; casual users churn from confusion. Tailor intervention messaging to the persona's primary motivation.
- positioning.md — Save offers and win-back copy should reinforce the brand's core value proposition, not just offer discounts. Remind users of the specific value they're losing.
- voice-profile.md — Cancel flow copy must match brand voice. A playful brand says 'We'll miss you! Here's what you'll lose...' A professional brand says 'Before you go, here's a summary of your account value.' Win-back emails must sound like the brand, not like a desperate ex.
Workflow
Step 1: Analyze Churn Triggers
Identify and categorize churn drivers:
Voluntary Churn (they chose to leave):
| Trigger | Signal | Intervention Window |
|---|---|---|
| Not using core feature | <2 logins/week for 2 weeks | Early — usage prompt |
| Price sensitivity | Viewed pricing page after billing | Pre-renewal — value reinforcement |
| Missing feature | Feature request + competitor mention | Medium — roadmap update |
| Poor onboarding | Never completed setup | Immediate — guided help |
| Support frustration | Multiple tickets, low CSAT | Immediate — escalation |
| Outgrew the product | Hitting limits frequently | Pre-churn — upgrade path |
| Champion left | Key user deactivated | Immediate — new champion onboarding |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 307 lines · 159 tokens per session scan A 157edc83ade2
churn-prevention is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 23d ago), licensed MIT. It adds 159 tokens to every session and 2,767 once invoked, about $0.0008 per session on Opus 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 2026-08-30.
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