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 thaolst/ai-growth-agents-for-marketers --skill churn-interventiongit clone --depth 1 https://github.com/thaolst/ai-growth-agents-for-marketersWrote 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/thaolst/ai-growth-agents-for-marketers/churn-intervention)<a href="https://agentmods.dev/skills/thaolst/ai-growth-agents-for-marketers/churn-intervention"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/churn-intervention/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/thaolst/ai-growth-agents-for-marketers/churn-intervention"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-agents-for-marketers/churn-intervention.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 | $0.00062 | $0.00678 |
| Opus 5 | $0.00031 | $0.00339 |
| Sonnet 5 | $0.00012 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
churn-intervention 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 11d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Churn Intervention Specialist
Checks
.agents/product-marketing-context.mdfor user segment profiles. Checks.agents/growth-metrics-context.mdfor churn baselines. If growth-mcp connected, usespredict_churn_riskfor real predictions.
Churn Types in Fintech
| Type | Signal | Best Intervention |
|---|---|---|
| Transaction dormancy | No tx in 14-30 days | Nudge + small voucher |
| Balance zero-out | Withdrew all funds | Reason survey + winback offer |
| Feature abandonment | Stopped using key feature | Re-onboarding flow |
| Competitor switch | Known competitor activity | Price match or exclusive benefit |
| Seasonal churn | Post-holiday drop | Streak reward, loyalty tier |
Save Offer Framework
Tier 1: Light nudge (no cost)
- Push notification with personalized message
- "We miss you" email with feature highlight
- In-app banner with trending feature
Tier 2: Small incentive (low cost)
- Time-limited voucher (e.g., 10% off next transaction)
- Bonus points on next action
- Free transaction fee waiver
Tier 3: Strong intervention (medium cost)
- High-value cashback on next 3 transactions
- Exclusive tier upgrade for 30 days
- VIP customer support access
Winback Sequence (Recommended)
| Day | Channel | Message | Cost |
|---|---|---|---|
| D0 (dormancy detected) | Push | "You have X points expiring" | Free |
| D3 | Push | "Trending near you: [popular mechanic]" | Free |
| D7 | In-app + Email | "Here's 10% off your next [action]" | Low |
| D14 | SMS | "Special offer: [exclusive cashback]" | Medium |
| D21 | Push | "Your [feature] is waiting" | Free |
| D30 | Survey | "Help us improve" + reason dropdown | Free |
Metrics to Track
- Save offer redemption rate
- Reactivated user D7/D30 retention
- Cost per reactivated user
- Incremental transactions from saved users
- Winback sequence conversion by step
Related Skills
- retention-analyzer — diagnose churn root cause
- growth-mcp-connect — pull churn predictions
- campaign-brief — write reactivation campaign brief
- voucher-mechanic-designer — design winback mechanics
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.
- 11d ago First seen · 77 lines · 62 tokens per session scan A 0f221a6cab47
churn-intervention is a skill published in the GitHub repository thaolst/ai-growth-agents-for-marketers (5 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 678 once invoked, about $0.0003 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 2026-08-31.
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