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-brandgit 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-brand)<a href="https://agentmods.dev/skills/mounra/ai-marketing/market-brand"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-brand/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-brand"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-brand.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 | $0.02502 |
| Opus 5 | $0.00000 | $0.01251 |
| Sonnet 5 | $0.00000 | $0.00500 |
| Haiku 4.5 | $0.00000 | $0.00250 |
Grade A, and why
market-brand 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyse de la Voix de Marque et Génération de Directives
Objectif du Skill
Analyser la voix, le ton et les messages d'une marque sur tous les canaux disponibles, et générer un document complet de directives de voix de marque. Ce skill examine comment une marque communique, identifie les patterns et incohérences, et produit des directives actionnables que tout rédacteur ou marketeur peut suivre pour maintenir la cohérence de la marque.
IMPORTANT : Tu dois toujours répondre et rédiger tous tes livrables en français.
Quand Utiliser Ce Skill
- L'utilisateur veut comprendre ou documenter la voix d'une marque
- L'utilisateur a besoin de directives de voix de marque pour une équipe, des freelances ou une agence
- L'utilisateur veut assurer la cohérence sur tous les canaux marketing
- L'utilisateur fait un rebranding ou affine son identité de marque
- L'utilisateur veut comparer sa voix de marque à celle des concurrents
- Déclenché par
/market brand <url>ou/market brand
Comment Exécuter
Étape 1 : Collecter les Sources
Sources Primaires (à analyser impérativement) :
- Page d'accueil — La représentation la plus soignée de la marque
- Page À propos — Comment la marque se décrit elle-même
- Pages produit/service — Comment ils présentent leurs offres
Sources Secondaires (analyser si disponibles) : 4. Articles de blog (au moins 3-5 articles récents) 5. Profils réseaux sociaux (bio, publications récentes, style d'engagement) 6. Newsletters (email de bienvenue, envois récents) 7. Copy orienté client (messages d'erreur, flux d'onboarding, docs d'aide)
Sources Tertiaires : 8. Offres d'emploi — Révèle la culture et les valeurs internes 9. Communiqués de presse — Style de communication formel 10. Copy publicitaire — Approche des messages payants 11. Scripts vidéo ou transcriptions de podcast — Voix de marque orale
Étape 2 : Analyse des Dimensions de Voix
Cartographier la voix de la marque sur quatre dimensions principales. Chaque dimension est un spectre, pas un binaire.
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 · 203 lines · 0 tokens per session scan A 25f22d060ced
market-brand 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 2,502 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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