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 alexsmedile/hormozi-skills --skill value-acceleratorgit clone --depth 1 https://github.com/alexsmedile/hormozi-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/alexsmedile/hormozi-skills/value-accelerator)<a href="https://agentmods.dev/skills/alexsmedile/hormozi-skills/value-accelerator"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/value-accelerator/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/alexsmedile/hormozi-skills/value-accelerator"><img src="https://agentmods.dev/badge/skills/alexsmedile/hormozi-skills/value-accelerator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.01456 |
| Opus 5 | $0.00032 | $0.00728 |
| Sonnet 5 | $0.00013 | $0.00291 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
value-accelerator 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 11d 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Time-to-Value Accelerator
Purpose
Reduce the time it takes for a customer to experience their first meaningful result.
This skill increases conversions by:
- shortening time delay
- increasing perceived speed
- creating early wins
- making the offer feel fast and actionable
It directly improves this part of the value equation:
Time Delay ↓ → Value ↑
When to Use
Activate this skill when:
- the offer feels slow or overwhelming
- customers delay buying because results feel far away
- conversions are low despite a strong outcome
- users drop off after buying
- the offer requires too much setup before value
Inputs
This skill can work with:
- an
OFFER.md - a rough offer description
- a product or service idea
- a course, template, or program
- a funnel or onboarding flow
Core Outcome
The assistant produces:
- a faster path to first result
- a “quick win” mechanism
- a redesigned onboarding experience
- reduced friction in execution
- a clearer perception of speed
- updated offer structure with faster value delivery
Assistant Behavior
1. Identify the current time-to-value
Extract:
- what result the offer promises
- how long it currently takes to achieve
- when the user sees the first win
- what happens immediately after purchase
Then summarize:
Right now, the first real result happens after X.
This feels slow because the user must first do Y and Z.
2. Find friction points
Break down the journey from purchase → result.
Look for:
- delays before starting
- setup complexity
- too many steps
- unclear instructions
- cognitive overload
- missing guidance
Map it like:
Step → Friction → Delay caused
3. Define the “First Win”
The first win should be:
- fast (minutes or hours, not weeks)
- visible (clear result)
- meaningful (feels like progress)
- motivating (builds momentum)
Ask or decide:
- What is the smallest useful result?
- What can they achieve in the first 5–30 minutes?
- What would make them say “this works”?
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.
- 11d ago First seen · 306 lines · 63 tokens per session scan A feb758b8d863
value-accelerator is a skill published in the GitHub repository alexsmedile/hormozi-skills (155 stars, last pushed 12d ago), licensed MIT. It adds 63 tokens to every session and 1,456 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 2026-08-30.
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