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 mounra/ai-marketing --skill market-landinggit clone --depth 1 https://github.com/mounra/ai-marketingWrote 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/mounra/ai-marketing/market-landing)<a href="https://agentmods.dev/skills/mounra/ai-marketing/market-landing"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-landing/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/mounra/ai-marketing/market-landing"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-landing.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 | $0.00000 | $0.04032 |
| Opus 5 | $0.00000 | $0.02016 |
| Sonnet 5 | $0.00000 | $0.00806 |
| Haiku 4.5 | $0.00000 | $0.00403 |
Grade A, and why
market-landing 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 12d 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyse CRO de Page d'Atterrissage
Objectif du Skill
Effectuer une analyse complète d'Optimisation du Taux de Conversion (CRO) sur toute page d'atterrissage. Ce skill produit un démontage section par section avec des corrections prioritaires et actionnables ayant un impact direct sur les taux de conversion.
IMPORTANT : Tu dois toujours répondre et rédiger tous tes livrables en français.
Quand Utiliser
- L'utilisateur fournit une URL de page d'atterrissage et demande une optimisation de conversion
- L'utilisateur demande un retour, une revue ou un audit de page d'atterrissage
- L'utilisateur veut améliorer les taux d'inscription, de capture de leads ou d'achat
- Déclenché par
/market landing <url>ou/market cro <url>
Comment Exécuter
Étape 1 : Identifier le Type de Page
Déterminer quel type de page d'atterrissage est analysé. Cela impacte les benchmarks et les pondérations de score.
| Type de Page | Objectif Principal | Bon TR | Excellent TR |
|---|---|---|---|
| Capture de leads | Soumission email/formulaire | 5-10% | 15%+ |
| Inscription SaaS | Essai gratuit ou freemium | 3-7% | 10%+ |
| Produit e-commerce | Ajout au panier / Achat | 2-4% | 5%+ |
| Inscription webinaire | S'inscrire à un événement | 20-30% | 40%+ |
| Téléchargement app | Installer l'app | 10-15% | 20%+ |
| Liste d'attente | Rejoindre la waitlist | 15-25% | 35%+ |
| Prise de RDV | Planifier un appel | 5-10% | 15%+ |
| Don associatif | Faire un don | 2-5% | 8%+ |
Étape 2 : Appliquer le Cadre CRO en 7 Points
Analyser chaque section dans l'ordre. Attribuer un score de 1-10 et fournir des observations spécifiques.
Section 1 : Zone Héros (Poids : 25%)
Le premier écran vu par le visiteur. C'est là que 80% des décisions de conversion commencent.
Checklist :
- Le titre est visible dans les 2 secondes après le chargement de la page
- Le titre communique le bénéfice principal (pas une fonctionnalité)
- Le titre fait moins de 10 mots
- Le sous-titre développe le titre avec de la spécificité
- Le CTA principal est au-dessus de la ligne de flottaison
- La couleur du bouton CTA contraste avec le fond
- Le texte du CTA est orienté action (pas "Envoyer" ou "Cliquer ici")
- L'image ou vidéo héros soutient le message (pas une photo stock générique)
- Badges de confiance ou preuve sociale visibles au-dessus de la ligne de flottaison
- La page se charge en moins de 3 secondes
- Pas de menu de navigation concurrençant le CTA (pour les pages d'atterrissage dédiées)
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.
- 12d ago First seen · 331 lines · 0 tokens per session scan A 5076c2d24912
market-landing is a skill published in the GitHub repository mounra/ai-marketing (30 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,032 tokens. 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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