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 agentmods add skills/dragoon0x/everything-design-taste/conversion-optimizationnpx skills add Dragoon0x/everything-design-taste --skill conversion-optimizationgit clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/conversion-optimization)<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/conversion-optimization"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/conversion-optimization.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00268 |
| Opus 5 | $0.00009 | $0.00134 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
conversion-optimization 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 3d 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.
What it actually says
Conversion Optimization
Funnel Analysis
- Define the funnel: Landing → Signup → Activation → Conversion
- Measure each step: Drop-off percentage per step
- Find the biggest leak: Fix the step with highest drop-off first
- Test one change at a time: Isolate variables
- Measure downstream: A change in step 1 may affect step 3
Friction Points
| Friction | Fix |
|---|---|
| Too many form fields | Remove non-essential fields |
| Account required | Allow guest checkout/trial |
| Unclear value | Better headline, social proof |
| Slow page load | Performance optimization |
| Missing trust signals | Add security badges, testimonials |
| Hidden costs | Show total cost upfront |
| Complex flow | Reduce steps, simplify decisions |
Quick Wins
- Reduce form fields (each field = ~5% drop-off)
- Add social proof near CTAs
- Fix mobile experience (most traffic is mobile)
- Improve page load speed
- Clear error messages that help recovery
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.
- 3d ago First seen · 33 lines · 18 tokens per session scan A 398be7b75255
conversion-optimization is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 268 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 2026-09-03.
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