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market-report-pdf

market-report-pdf is a skill for Claude Code, Codex from mounra/ai-marketing. It costs 0 tokens per session (4,208 once invoked), scanned A, original, MIT.

A French-language workflow for creating a branded marketing report as a PDF, a fixed-layout document that can be shared or printed. It gathers available audit and analysis data and arranges it with scores, charts, tables, observations, and action plans.

In plain words
What is it for?
Use it when you need a polished marketing audit or analysis report for a client presentation, email attachment, or printable deliverable.
Why use it?
It turns scattered marketing findings into a structured client-facing document without requiring the report to be assembled by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/generate_pdf_report.py /tmp/report_data.json "RAPPORT-MARKETING-<domaine>.pdf".

not rated 32repo 7mo ago A scan 0 tokens original MIT

Good fit Use it when you need a polished marketing audit or analysis report for a client presentation, email attachment, or printable deliverable.

Compare 6 skills from other repositories ↓
View source ↗ mounra/ai-marketing
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/mounra/ai-marketing
agentmods
npx agentmods add skills/mounra/ai-marketing/market-report-pdf

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for market-report-pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/mounra/ai-marketing/market-report-pdf/github.svg)](https://agentmods.dev/skills/mounra/ai-marketing/market-report-pdf)
Your own site
<a href="https://agentmods.dev/skills/mounra/ai-marketing/market-report-pdf"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-report-pdf/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.

agentmods 80×15 button for market-report-pdf

Your own site · 80×15
<a href="https://agentmods.dev/skills/mounra/ai-marketing/market-report-pdf"><img src="https://agentmods.dev/badge/skills/mounra/ai-marketing/market-report-pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.04208
Opus 5.5 $0.00000 $0.01683
Sonnet 5.5 $0.00000 $0.00842
Haiku 4.5 $0.00000 $0.00421

Measured 2mo ago against content hash 399cde7bf3d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

market-report-pdf 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 2mo 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.

skills/market-report-pdf/SKILL.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Générateur de Rapport Marketing PDF

Objectif du Skill

Générer un rapport marketing PDF professionnel et visuellement soigné à l'aide du script Python scripts/generate_pdf_report.py. Ce skill collecte toutes les données d'audit et d'analyse disponibles, les structure au format JSON attendu, invoque le script et produit un PDF de marque avec jauges de score, graphiques en barres, tableaux comparatifs, observations et plan d'action priorisé.

IMPORTANT : Tu dois toujours répondre et rédiger tous tes livrables en français.

Quand Utiliser

  • L'utilisateur veut un rapport PDF (pas seulement Markdown)
  • L'utilisateur prépare un livrable pour une présentation client
  • L'utilisateur demande un "rapport soigné", "rapport client" ou "rapport PDF"
  • L'utilisateur veut un rapport visuel avec graphiques et scores
  • Déclenché par /market report-pdf ou /market report-pdf <domaine>

PDF vs Markdown

Format Idéal Pour Avantages Inconvénients
PDF Présentations clients, pièces jointes email, supports commerciaux Apparence professionnelle, mise en forme cohérente, graphiques visuels, imprimable Plus difficile à modifier, nécessite le script Python
Markdown Usage interne, référence rapide, édition itérative, gestion de version Facile à modifier, lisible dans n'importe quel éditeur, compatible git Moins soigné visuellement, pas de graphiques

Règle générale : Si le rapport va à un client ou prospect, utiliser le PDF. Pour un usage interne ou une édition ultérieure, utiliser le Markdown.

Comment Exécuter

Étape 1 : Collecter Toutes les Données Disponibles

Rassembler les données de toutes les exécutions précédentes de skills. Chercher ces fichiers dans le répertoire projet :

Sources de données principales :

  • AUDIT-MARKETING.md — Résultats globaux de l'audit
  • ANALYSE-LANDING.md — Analyse de conversion de la page d'atterrissage
  • AUDIT-SEO.md — Observations SEO
  • VOIX-DE-MARQUE.md — Analyse de la voix de marque
  • RAPPORT-CONCURRENTS.md — Données de comparaison concurrentielle
  • ANALYSE-FUNNEL.md — Analyse du tunnel de vente
  • CALENDRIER-SOCIAL.md — Audit des réseaux sociaux
  • SEQUENCES-EMAILS.md — Audit email marketing
  • CAMPAGNES-PUB.md — Audit publicitaire

Read the full file on GitHub · 350 lines

Changes

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.

  1. 2mo ago First seen · 350 lines · 0 tokens per session scan A 399cde7bf3d1

Subscribe to this mod's changes

market-report-pdf is a skill published in the GitHub repository mounra/ai-marketing (32 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,208 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.

Claude CodeDocumentsMarketing and SEOPDFclaude-aimarketing
Related

market-report-pdf compared with skills from other repositories

market-report-pdf next to 6 skills from other repositories
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dev-documentchristopherlouet/claude-baseSkill56d agoMITA94Claude Code
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