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 heysash/lemonsqueezy-mcp --skill lemonsqueezy-tier-setupgit clone --depth 1 https://github.com/heysash/lemonsqueezy-mcpWrote 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/heysash/lemonsqueezy-mcp/lemonsqueezy-tier-setup)<a href="https://agentmods.dev/skills/heysash/lemonsqueezy-mcp/lemonsqueezy-tier-setup"><img src="https://agentmods.dev/badge/skills/heysash/lemonsqueezy-mcp/lemonsqueezy-tier-setup/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/heysash/lemonsqueezy-mcp/lemonsqueezy-tier-setup"><img src="https://agentmods.dev/badge/skills/heysash/lemonsqueezy-mcp/lemonsqueezy-tier-setup.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 | $0.00090 | $0.01308 |
| Opus 5 | $0.00045 | $0.00654 |
| Sonnet 5 | $0.00018 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
lemonsqueezy-tier-setup 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: lemonsqueezy-tier-setup
Important context (Lemon Squeezy API constraint): The Lemon Squeezy REST API does not allow creating products or variants programmatically. They must be created manually in the Lemon Squeezy dashboard. This skill therefore operates in Discover & Configure mode: it reads what exists, validates it against an expected tier structure, and emits the configuration artefacts your app needs.
When to use
- You just finished creating your subscription products (e.g. Starter/Pro/ Enterprise) in the Lemon Squeezy dashboard and want the variant IDs mapped into your environment / pricing config.
- You're auditing an existing store and want to know which variants your app is missing or has wired incorrectly.
- You want to confirm the webhook subscription is correctly registered before
running
lemonsqueezy-webhook-test.
Inputs
The user provides — directly or via a manifest — the expected tier layout and how they want the output emitted.
Option A: Inline (conversational)
"I have Starter (Monthly + Yearly), Pro (Monthly + Yearly), Enterprise (Monthly
- Yearly) in store 12345. Map them to env vars prefixed
LEMONSQUEEZY_VARIANT_."
Option B: YAML manifest
storeId: "12345"
currency: USD
webhookUrl: "https://app.example.com/api/webhooks/lemonsqueezy"
envPrefix: "LEMONSQUEEZY_VARIANT_" # optional, this is the default
tierNames: [starter, pro, enterprise] # your own names — no fixed taxonomy
outputFormat: env # env | table | both (default: both)
expectedTiers:
starter:
productName: "Starter"
monthlyVariantSlug: "starter-monthly"
yearlyVariantSlug: "starter-yearly"
pro:
productName: "Pro"
monthlyVariantSlug: "pro-monthly"
yearlyVariantSlug: "pro-yearly"
enterprise:
productName: "Enterprise"
monthlyVariantSlug: "enterprise-monthly"
yearlyVariantSlug: "enterprise-yearly"
Workflow
- Verify auth — call
lemonsqueezy_whoami. Fail loudly if no API key configured. - Confirm store — call
lemonsqueezy_list_stores, match against the expectedstoreId. If not allowed byLEMONSQUEEZY_ALLOWED_STORE_IDS, stop and ask the user to update the allowlist. - Discover products — call
lemonsqueezy_list_productsfiltered by storeId. Match againstexpectedTiers[*].productName. - Discover variants — for each matched product, call
lemonsqueezy_list_variants. Pair them with the expectedmonthlyVariantSlug/yearlyVariantSlug. - Pull prices — call
lemonsqueezy_list_pricesfor each variant to confirm monthly/yearly billing intervals. - Webhook check — call
lemonsqueezy_list_webhooks. If the configuredwebhookUrlis missing, offer to calllemonsqueezy_create_webhookwith the event set your app needs (subscription_*,subscription_payment_*,order_created, …) and a freshly generated 32-char secret. - Emit artefacts (per
outputFormat):- env:
<envPrefix><TIER>_<INTERVAL>=<id>lines you can paste into your.env(e.g.LEMONSQUEEZY_VARIANT_PRO_MONTHLY=300001) - table: a summary — tier → variant ID → monthly price → yearly price → status
- env:
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 · 119 lines · 90 tokens per session scan A 98c19afa47d9
lemonsqueezy-tier-setup is a skill published in the GitHub repository heysash/lemonsqueezy-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,308 once invoked, about $0.0005 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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