Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill email-lifecycle-offer-mathgit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/email-lifecycle-offer-math)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/email-lifecycle-offer-math"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/email-lifecycle-offer-math/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/gooseworks-ai/goose-skills/email-lifecycle-offer-math"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/email-lifecycle-offer-math.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 | $0.00072 | $0.00526 |
| Opus 5.5 | $0.00029 | $0.00210 |
| Sonnet 5.5 | $0.00014 | $0.00105 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
email-lifecycle-offer-math 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 4d 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
offer-math
Reads: ../email-lifecycle/references/segments-cadence-offers.md (ladder and formula); AOV and margin per product or category from lifecycle/program.md (marketer-stated); the standing first-order offer from the shared Standing offer: fact (else the Brand record's business facts, read with file_read; never a search snippet); product records for price.
Does:
- Check the offer is allowed: the standing offer, or a step of a ladder the marketer approved. Welcome never deeper than the standing offer; first cart reminder never discounted; no discount to returning full-price buyers in cart flows; no code twice in 30 days. Anything else is a proposal, not a draft.
- Compute contribution per order, discount cost per order, share of contribution used, and the break-even lift, with the inputs shown. Free shipping: cost = average shipping cost × share of orders newly qualifying. Rewards (referral): cost per successful referral both sides vs contribution of the referred first order. Subscriptions and apps: use the subscription formula in the reference (store fee, months retained).
- Leakage: shared vs unique code (if the sign-up form shows a shared code, repeat that code and flag the leakage as a proposal naming the popup edit — never switch it silently), stacking, exclusions, expiry, which segments see it (are full-price buyers in them?).
- Recommend one — usually the cheapest offer that does the job, or a non-discount value (free shipping, gift with purchase, early access) — in two plain sentences.
- Unknown margin: show cost per order in money, say "margin unknown", and do not call it affordable.
Writes: an offer box placed next to the flow or send that uses it, and into the "awaiting your yes" list. The approved depth is saved in lifecycle/program.md; the approved depth stays in the program sheet (a standing offer the marketer states is written at SKILL step 9).
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.
- 4d ago First seen · 23 lines · 72 tokens per session scan A 79f6329b27cc
email-lifecycle-offer-math is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,265 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 526 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-21.
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