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.
git clone --depth 1 https://github.com/henriquecaner/hormozi-gtmWrote 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/henriquecaner/hormozi-gtm/pricing)<a href="https://agentmods.dev/commands/henriquecaner/hormozi-gtm/pricing"><img src="https://agentmods.dev/badge/commands/henriquecaner/hormozi-gtm/pricing/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/henriquecaner/hormozi-gtm/pricing"><img src="https://agentmods.dev/badge/commands/henriquecaner/hormozi-gtm/pricing.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 | $0.00058 | $0.01384 |
| Opus 5 | $0.00029 | $0.00692 |
| Sonnet 5 | $0.00012 | $0.00277 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
pricing 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 147 lines · 58 tokens per session scan A e2c91284f0dc
pricing is a command published in the GitHub repository henriquecaner/hormozi-gtm (4 stars, last pushed 2mo ago), with no licence file. It adds 58 tokens to every session and 1,384 once invoked, about $0.0003 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.
Other commands, from other repositories
grounded
Show or change the grounded-copy writing mode.
demo
Generate a custom SaaS product demo video from a URL, in this Claude Code session (no API key).
onboarding-plan
Generate a structured new sales rep onboarding and ramp plan with milestones, training modules, and certification checkpoints.
rep-dashboard
Generate a personalized rep performance dashboard — skill gaps, pipeline health, coaching priorities, and development recommendations tailored to each rep's profile.
content-audit
Run a comprehensive audit of your sales enablement content — surface stale assets, identify gaps, score freshness, and build a remediation plan.
deal-review
Run a structured deal strategy session — assess deal health, identify risks, build a win plan, and assign next actions.