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 rshankras/claude-code-apple-skills --skill win-back-offersgit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote 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/rshankras/claude-code-apple-skills/win-back-offers)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/win-back-offers"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/win-back-offers/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/rshankras/claude-code-apple-skills/win-back-offers"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/win-back-offers.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 | $0.00049 | $0.02170 |
| Opus 5 | $0.00024 | $0.01085 |
| Sonnet 5 | $0.00010 | $0.00434 |
| Haiku 4.5 | $0.00005 | $0.00217 |
Grade A, and why
win-back-offers 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 7d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Win-Back Offers Generator
Generate a complete win-back flow for recovering churned subscribers using StoreKit 2's win-back offer APIs (iOS 18+), Message API handling, and fallback promotional offers for older OS versions.
When This Skill Activates
Use this skill when the user:
- Asks to "win back" or "re-engage" churned subscribers
- Mentions "lapsed subscribers" or "subscriber recovery"
- Wants to implement "win-back offers" (iOS 18+)
- Asks about "subscription churn" reduction
- Mentions "Message API" for subscription offers
- Wants to reduce subscriber attrition
Minimum Eligibility
Win-back offers involve meaningful engineering and ASC configuration. Check these thresholds before proceeding:
| Churned Subscribers | Recommendation |
|---|---|
| Under 50 | Not worth the setup effort. Use personal email outreach instead — write individual messages to churned users. Focus energy on preventing churn (improve onboarding, engagement). |
| 50-500 | Implement basic win-back via promotional offers (simpler than full win-back flow). Use offer codes distributed via email. |
| 500+ | Full win-back implementation justified. Native iOS 18+ win-back offers, Message API handling, automated pipeline. |
If you don't know your churn numbers: Check App Store Connect > Subscriptions > Retention metrics. If your total subscriber base is under 200, you likely don't have enough churn volume to justify this skill yet.
Pre-Generation Checks
1. Project Context Detection
- Check for existing StoreKit implementation
- Check deployment target (iOS 18+ for native win-back, iOS 16+ for promotional offer fallback)
- Look for existing subscription management code
- Check if
subscription-offersskill was already used - Check churn volume — is the number of churned subscribers worth automating?
2. Conflict Detection
Glob: **/*WinBack*.swift, **/*Reengag*.swift
Grep: "winBackOffers" or "Message.messages" or "presentWinBackOffer"
What ships with it
1 file 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.
- 7d ago First seen · 217 lines · 49 tokens per session scan A 7a685c058a4d
win-back-offers is a skill published in the GitHub repository rshankras/claude-code-apple-skills (713 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 2,170 once invoked, about $0.0002 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 2026-09-03.
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