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 appeeky/stripe-skills --skill cohort-retentiongit clone --depth 1 https://github.com/appeeky/stripe-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/appeeky/stripe-skills/cohort-retention)<a href="https://agentmods.dev/skills/appeeky/stripe-skills/cohort-retention"><img src="https://agentmods.dev/badge/skills/appeeky/stripe-skills/cohort-retention/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/appeeky/stripe-skills/cohort-retention"><img src="https://agentmods.dev/badge/skills/appeeky/stripe-skills/cohort-retention.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 | $0.00065 | $0.00329 |
| Opus 5 | $0.00032 | $0.00164 |
| Sonnet 5 | $0.00013 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
cohort-retention 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.
What it actually says
Cohort Retention
Stripe MCP Setup
Requires Stripe MCP (https://docs.stripe.com/mcp). GetMcpTools before CallMcpTool. Paginate all lists (limit: 100, starting_after while has_more). Amounts in cents. Read-only for audits; confirm before writes.
Workflow
- List subscriptions (all statuses) with
createdandcanceled_at/ended_at - Bucket by signup month (
created) - For each cohort, compute % still active at month 1, 2, 3...
- Optionally weight by MRR for revenue retention
Output Template
Cohort Retention (logo)
| Cohort | Size | M1 | M2 | M3 | M6 |
|--------|------|----|----|----|----|
| 2026-01 | | | | | |
Revenue retention (NRR) latest cohort: [X]%
Insight: [where the biggest drop occurs]
Flag the month with steepest drop -- that's the retention leak to fix (route to churn-analysis or onboarding).
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 · 35 lines · 65 tokens per session scan A be20475a9c9d
cohort-retention is a skill published in the GitHub repository appeeky/stripe-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 329 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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