offer-design

offer-design is a skill for Codex from Infinite-Labs-AI/infinite-skills. It costs 36 tokens per session (541 once invoked), scanned A, original, MIT.

A method for designing a product or service offer, including its packages, prices, plans, guarantees, trials, bonuses, discounts, and upgrade paths.

In plain words
What is it for?
It helps improve pricing pages, service bundles, plan structures, guarantees, trials, annual discounts, bonuses, and upgrade options.
Why use it?
It helps align what is sold with buyer concerns, the path to getting results, delivery costs, support needs, and the boundaries between plans.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps improve pricing pages, service bundles, plan structures, guarantees, trials, annual discounts, bonuses, and upgrade options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/infinite-labs-ai/infinite-skills/offer-design
Install

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.

Any agent
npx skills add Infinite-Labs-AI/infinite-skills --skill offer-design
Clone the repo
git clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-skills

Made for: Codex.

Wrote 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.

agentmods badge for offer-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/offer-design/github.svg)](https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/offer-design)
Your own site
<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/offer-design"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/offer-design/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.

agentmods 80×15 button for offer-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/offer-design"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/offer-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 541 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00541
Opus 5 $0.00018 $0.00270
Sonnet 5 $0.00007 $0.00108
Haiku 4.5 $0.00004 $0.00054

Measured 12d ago against content hash b9e4b7ab02be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

offer-design 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 12d 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.

skills/offer-design/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Offer Design

Shape the offer around buyer anxiety, adoption path, fulfillment constraints, and plan boundaries.

Understand The Sale

Identify:

  • Buyer and user.
  • Desired outcome.
  • Current alternative.
  • Price or expected budget.
  • Purchase anxiety.
  • Fulfillment cost and margin risk.
  • Proof available.
  • Sales motion: self-serve, sales-led, product-led, service-led, marketplace.

If the user asks for copy before the offer is clear, define the offer first.

Inspect Offer Fit

Break it into fit dimensions:

  • Buyer anxiety: what makes the purchase feel risky.
  • Adoption path: what has to happen after purchase for value to appear.
  • Fulfillment constraint: what the business must deliver reliably.
  • Support burden: where customers will need help.
  • Abuse risk: how guarantees, trials, discounts, or unlimited use can be misused.
  • Plan boundary: what separates small, growing, and high-value customers.
  • Proof threshold: what evidence the buyer needs before paying.
  • Price logic: how price maps to value, usage, or urgency.

Flag weak spots: vague deliverables, fake urgency, unpriced complexity, guarantees that create abuse, discounts that train waiting, support promises the team cannot honor, or plan tiers that punish the best customers.

Redesign

Offer 2-3 structures:

  • Simple offer: easiest to understand and buy.
  • Proof-heavy offer: best when trust is the barrier.
  • Expansion offer: best when land-and-expand matters.

For each, define the promise, included pieces, exclusions, price logic, risk reversal, and reason to act now.

Watch Outs

  • Do not invent scarcity.
  • Do not recommend a guarantee the business cannot honor.
  • Tie bonuses to purchase anxiety, not random perceived value.
  • Use a value metric customers can understand and the business can support.
  • Keep plan differences based on customer maturity or usage, not arbitrary feature hiding.

Output

Offer fit diagnosis:
[what is clear, what is weak]

Purchase anxiety:
- [fear]
- [fear]

Recommended offer:
Name:
For:
Promise:
Includes:
Excludes:
Price logic:
Adoption support:
Risk handling:
Abuse boundary:
Plan boundary:

Alternative structures:
1. [option] - [when to use]
2. [option] - [when to use]

Copy-ready bullets:
- [bullet]
- [bullet]
- [bullet]

Read the full file on GitHub · 89 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 89 lines · 36 tokens per session scan A b9e4b7ab02be

Subscribe to this mod's changes

offer-design is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 541 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 2026-08-30.

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