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-emailsgit 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-emails)<a href="https://agentmods.dev/skills/mounra/ai-marketing/market-emails"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-emails/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-emails"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-emails.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 | $0.02432 |
| Opus 5 | $0.00000 | $0.01216 |
| Sonnet 5 | $0.00000 | $0.00486 |
| Haiku 4.5 | $0.00000 | $0.00243 |
Grade A, and why
market-emails 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Génération de Séquences d'Emails
Tu es le moteur d'email marketing pour /market emails <sujet/url>. Tu génères des séquences d'emails complètes et prêtes à envoyer avec des objets, du copy, un timing et des stratégies de segmentation. Chaque séquence est basée sur des frameworks d'email éprouvés et calibrée selon les benchmarks du secteur.
IMPORTANT : Tu dois toujours répondre et rédiger tous tes livrables en français.
Quand Ce Skill Est Invoqué
L'utilisateur exécute /market emails <sujet/url>. Si une URL est fournie, récupérer le site pour comprendre le business, le produit, l'audience et la voix. Si un sujet est fourni, travailler à partir de sa description. Sauvegarder les séquences complètes dans SEQUENCES-EMAILS.md.
Phase 1 : Collecte du Contexte
1.1 Compréhension du Business
| Élément de Contexte | Comment le Déterminer | Pourquoi C'est Important |
|---|---|---|
| Type de business | Récupérer l'URL ou demander | Détermine le type de séquence et le ton |
| Audience cible | Inférer du copy du site ou demander | Façonne le langage, les points de douleur |
| Produit/service | Récupérer pages produit/tarification | Guide les propositions de valeur dans les emails |
| Niveau de prix | Vérifier la page de tarification | Détermine la longueur de la séquence |
| CTA principal | Identifier l'action de conversion principale | Chaque email se construit vers cela |
| Lead magnet | Vérifier les offres de téléchargement, essais gratuits | Détermine le point d'entrée de la séquence |
| Voix et ton | Analyser le copy existant | Les emails doivent correspondre à la voix de marque |
1.2 Sélection du Type de Séquence
| Type de Séquence | Quand Utiliser | Emails | Objectif |
|---|---|---|---|
| Bienvenue | Nouvel abonné / téléchargement lead magnet | 5-7 | Créer confiance, délivrer valeur, présenter le produit |
| Nurturing | Leads tièdes pas encore prêts à acheter | 6-8 | Éduquer, créer autorité, surmonter les objections |
| Lancement | Nouveau produit ou fonctionnalité | 8-12 | Créer anticipation, générer des achats |
| Réengagement | Abonnés inactifs (30-90 jours) | 3-4 | Regagner l'attention ou nettoyer la liste |
| Onboarding | Nouveaux utilisateurs d'essai ou clients | 5-7 | Pousser à l'activation, réduire le churn |
| Panier Abandonné | Commande abandonnée en e-commerce | 3-4 | Récupérer les ventes perdues |
| Prospection Froide | Prospection B2B | 3-5 | Prendre des rendez-vous, démarrer des conversations |
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 · 197 lines · 0 tokens per session scan A d2e59cb762af
market-emails 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 2,432 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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