market-report

market-report is a skill for Claude Code, Codex from zubair-trabzada/ai-marketing-claude. It costs 0 tokens per session (3,741 once invoked), scanned A, original, MIT.

A Markdown marketing-report generator that combines earlier audit results into one client-ready document. Markdown is plain text with formatting symbols that can be rendered as a formatted report.

In plain words
What is it for?
Use it after marketing audits to compile findings, recommendations, priorities, and estimated revenue impact into a single report.
Why use it?
It saves the work of collecting separate analyses and organizing their findings, scores, recommendations, and action plan in one place.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after marketing audits to compile findings, recommendations, priorities, and estimated revenue impact into a single report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/ai-marketing-claude/market-report
About the project

AI Marketing Suite for Claude Code is a collection of marketing skills and parallel agents that analyze websites and produce copy, email sequences, campaigns, content calendars, competitor research, and reports. Entrepreneurs, agencies, and solo operators use it to run marketing workflows from Claude Code, and the catalogue lists the suite's skills and agents.

zubair-trabzada/ai-marketing-claude · 2,639 stars · on GitHub · skool.com

Install

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.

Any agent
npx skills add zubair-trabzada/ai-marketing-claude --skill market-report
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/ai-marketing-claude

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-marketing-claude/market-report"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-marketing-claude/market-report.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 3,741 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.03741
Opus 5 $0.00000 $0.01870
Sonnet 5 $0.00000 $0.00748
Haiku 4.5 $0.00000 $0.00374

Measured 13d ago against content hash fd00c932a314, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

market-report 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 13d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/market-report/SKILL.md · 372 lines

How it starts

The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Report Generator (Markdown Format)

Skill Purpose

Generate a comprehensive, professionally formatted marketing report in Markdown. This skill compiles data from all previous audit and analysis results into a single, client-ready document with scores, findings, recommendations, and a prioritized action plan with revenue impact estimates.

When to Use

  • User wants a full marketing report for a client or their own business
  • User has completed one or more audit skills and wants a compiled report
  • User asks for a marketing assessment, scorecard, or analysis document
  • Triggered by /market report or /market report <domain>

How to Execute

Step 1: Collect All Available Data

Before generating the report, check for any existing audit data from previous skill runs. Look for these files in the project directory:

Possible data sources:

  • MARKETING-AUDIT.md -- from /market audit
  • LANDING-CRO.md -- from /market landing
  • SEO-AUDIT.md -- from /market seo
  • BRAND-VOICE.md -- from /market brand
  • COMPETITOR-ANALYSIS.md -- from /market competitors
  • FUNNEL-ANALYSIS.md -- from /market funnel
  • CONTENT-AUDIT.md -- from content analysis
  • AD-AUDIT.md -- from /market ads
  • SOCIAL-AUDIT.md -- from /market social
  • EMAIL-AUDIT.md -- from /market emails

If no previous data exists, inform the user and offer to:

  1. Run a quick audit first (recommended)
  2. Generate a report based on available information (website URL, user-provided data)
  3. Create a report template they can fill in

Step 2: Calculate the Marketing Scorecard

Score across 6 categories, each worth up to 100 points. The overall score is the weighted average.

Category 1: Website & Conversion (Weight: 25%)

Evaluate based on landing page analysis, CRO findings, and UX assessment.

Factor Points Available Criteria
Page load speed 15 Under 2s = 15, Under 3s = 10, Under 5s = 5, Over 5s = 0
Mobile responsiveness 15 Fully responsive = 15, Mostly = 10, Partially = 5, Not = 0
Clear value proposition 20 Immediately clear = 20, Takes effort = 12, Vague = 5, Missing = 0
CTA effectiveness 20 Strong and clear = 20, Present but weak = 12, Unclear = 5, Missing = 0
Social proof 15 Multiple types = 15, Some = 10, Minimal = 5, None = 0
Form optimization 15 Optimized = 15, Adequate = 10, Needs work = 5, Broken = 0

Read the full file on GitHub · 372 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. 13d ago First seen · 372 lines · 0 tokens per session scan A fd00c932a314

Subscribe to this mod's changes

market-report is a skill published in the GitHub repository zubair-trabzada/ai-marketing-claude (2,639 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,741 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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