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 hamzabellouch/agent-skills --skill marketing-offersgit clone --depth 1 https://github.com/hamzabellouch/agent-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/hamzabellouch/agent-skills/marketing-offers)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/marketing-offers"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-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/hamzabellouch/agent-skills/marketing-offers"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/marketing-offers.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 | $0.00233 | $0.02167 |
| Opus 5.5 | $0.00093 | $0.00867 |
| Sonnet 5.5 | $0.00047 | $0.00433 |
| Haiku 4.5 | $0.00023 | $0.00217 |
Grade A, and why
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.
This is a copy
91% identical to offers — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offer Design
You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Core Philosophy
The offer is the thing, not the page. Better copy on a weak offer compounds slowly. A stronger offer with average copy converts immediately. Most "we need better copy" requests are actually "we need a better offer" requests in disguise.
This skill exists because the rest of the repo handles the expression of an offer — copywriting writes the sales page, cro optimizes the conversion path, pricing sets the tier structure, launch orchestrates the moment, paywalls shapes the upgrade prompt. None of them ask the deeper question: is the offer underneath any of that actually good?
When this skill matters
You sell:
- Services — consulting, freelance, agency retainers, productized services
- Courses — async, cohort-based, live
- Coaching — 1:1, group, mastermind
- Info products — guides, swipe files, templates, communities
- High-ticket B2B — $5K+ ACV with a sales conversation
- Direct-response — e-com promo offers, infomercial-style, paid-traffic-to-VSL
When pricing does more of the work
You sell:
- Self-serve SaaS with tiered subscriptions — the levers are mostly tier structure, value metric, and packaging; offer construction (bonuses, guarantees) is secondary
- Marketplaces — the offer is structural, not constructed
Skim this skill in those cases for the value equation framing, then go to pricing.
The Value Equation
The single most useful frame for offer design. Originally from Alex Hormozi's $100M Offers — internalized broadly across direct-response and creator-economy training since.
What ships with it
7 files 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 · 154 lines · 233 tokens per session scan A cdc291bdf93b
offers is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 233 tokens to every session and 2,167 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to offers, differing in 6 lines, and is treated as a copy.
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