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 deciqAI/knowledge-skills --skill landing-page-conversiongit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/landing-page-conversion)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/landing-page-conversion"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/landing-page-conversion/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/deciqai/knowledge-skills/landing-page-conversion"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/landing-page-conversion.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 | $0.00075 | $0.00616 |
| Opus 5 | $0.00037 | $0.00308 |
| Sonnet 5 | $0.00015 | $0.00123 |
| Haiku 4.5 | $0.00007 | $0.00062 |
Grade A, and why
landing-page-conversion 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 9d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Conversion — Clarity Beats Cleverness
Overview
A landing page converts when a visitor, in seconds, understands what it is, who it's for, why it's better, and what to do next — with nothing in the way. Most pages leak conversions to vague headlines, buried value, weak proof, and friction. Conversion optimization is mostly removing doubt and steps, not adding persuasion tricks.
The Process
- Nail the above-the-fold answer — headline states the outcome for the specific buyer; subhead adds the how. Gate: if a stranger can't say what you do in 5 seconds, nothing below matters.
- Lead with value, not features — the transformation, then the mechanism.
- Add proof near claims — testimonials, logos, numbers, guarantees placed where doubt arises.
- One primary CTA, repeated — a single next action; remove competing links/choices. Gate: multiple competing CTAs = decision paralysis, lower conversion.
- Strip friction — fewer form fields, no forced signup to see value, fast load, mobile-clean.
- Test one hypothesis at a time — headline, offer, CTA; change one variable, measure. Gate: changing many things at once = you learn nothing.
When to Use
- Decent traffic, poor conversion
- New offer/product page launch
- Paid campaigns landing on weak pages (wasting spend)
Applying It Well
- Message-match the ad/source to the page (same promise).
- Reduce fields and choices before adding copy.
- Watch session recordings/heatmaps to see where attention dies.
Red Flags
- Clever headline that hides what you sell.
- Feature list with no outcome or proof.
- Many CTAs, long forms, slow mobile load.
Verification
- 5-second clarity test passed
- Value-first message with proof near claims
- Single repeated primary CTA
- Friction (fields/steps/load) minimized; one-variable tests
Part of deciqAI Knowledge Skills — 237 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/landing-page-conversion · Built by deciqAI · github.com/deciqAI · Contributions welcome.
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.
- 9d ago First seen · 44 lines · 75 tokens per session scan A f5746a6f566e
landing-page-conversion is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 75 tokens to every session and 616 once invoked, about $0.0004 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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