Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add uppifyagency/bettercallclaudegrowth/plugin install bettercallclaudegrowthWrote 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/commands/uppifyagency/bettercallclaudegrowth/gtm-offer)<a href="https://agentmods.dev/commands/uppifyagency/bettercallclaudegrowth/gtm-offer"><img src="https://agentmods.dev/badge/commands/uppifyagency/bettercallclaudegrowth/gtm-offer/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/commands/uppifyagency/bettercallclaudegrowth/gtm-offer"><img src="https://agentmods.dev/badge/commands/uppifyagency/bettercallclaudegrowth/gtm-offer.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 | $0.00029 | $0.00595 |
| Opus 5 | $0.00015 | $0.00298 |
| Sonnet 5 | $0.00006 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
gtm-offer 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gtm-offer - Grand Slam Offer, Hormozi style
This command applies the hormozi-offers skill. Respect userConfig.output_language (IT by default), userConfig.industry, userConfig.brand_voice and userConfig.default_channel.
User input: $ARGUMENTS
Steps
-
Load the skill. Invoke the
hormozi-offersskill by name (it activates from its description; do not use file paths) and apply its frameworks, digging deeper into cheatsheets/patterns when needed. Do NOT copy the book's content: use it only as an operational guide. -
Frame the market. Briefly assess the input against the Starving Crowd (Pain, Purchasing Power, Easy to Target, Growing) to anchor the offer to a real avatar in the
industry. -
Apply the Value Equation. For the offer in $ARGUMENTS, work the four drivers: raise Dream Outcome and Perceived Likelihood, lower Time Delay and Effort & Sacrifice. Keep these drivers as the compass for every subsequent element. For an objective score and the weakest lever, run:
node "${CLAUDE_PLUGIN_ROOT}/scripts/value-equation-score.js" --dream <1-10> --likelihood <1-10> --time <1-10> --effort <1-10>(time/effort: 10 = very high). -
Compose the Grand Slam Offer and return the structured spec:
- Promise — specific Dream Outcome tied to the avatar's status.
- Price — premium price with rationale (price-to-value); never discounts.
- Bonuses — 3-5 bonuses, each with a name, the problem it solves and an anchored value.
- Guarantee — choose and justify the type (unconditional/conditional/anti-guarantee/implied); you can stack them.
- Scarcity/Urgency — honest levers on limited supply and/or deadline.
- Name — apply the MAGIC formula (3-5 components) for a short, magnetic name.
-
Align voice and channel. Adapt tone and format to
brand_voiceand thedefault_channelset in the configuration. -
Final red-team. Invoke the
gtm-criticagent to stress-test the offer spec (credible promise? defensible price? risky guarantee? honest scarcity?), then fold the proposed fixes into the final version.
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 · 31 lines · 29 tokens per session scan A 6b8a004b4067
gtm-offer is a command published in the GitHub repository uppifyagency/bettercallclaudegrowth (5 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 595 once invoked, about $0.0001 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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