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 tal7aouy/marketkit --skill market-reportgit clone --depth 1 https://github.com/tal7aouy/marketkitWrote 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/tal7aouy/marketkit/market-report)<a href="https://agentmods.dev/skills/tal7aouy/marketkit/market-report"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/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.
<a href="https://agentmods.dev/skills/tal7aouy/marketkit/market-report"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-report.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 | $0.03741 |
| Opus 5 | $0.00000 | $0.01870 |
| Sonnet 5 | $0.00000 | $0.00748 |
| Haiku 4.5 | $0.00000 | $0.00374 |
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 10d 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.
This is a copy
100% identical to market-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 reportor/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 auditLANDING-CRO.md-- from/market landingSEO-AUDIT.md-- from/market seoBRAND-VOICE.md-- from/market brandCOMPETITOR-ANALYSIS.md-- from/market competitorsFUNNEL-ANALYSIS.md-- from/market funnelCONTENT-AUDIT.md-- from content analysisAD-AUDIT.md-- from/market adsSOCIAL-AUDIT.md-- from/market socialEMAIL-AUDIT.md-- from/market emails
If no previous data exists, inform the user and offer to:
- Run a quick audit first (recommended)
- Generate a report based on available information (website URL, user-provided data)
- 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 |
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.
- 10d ago First seen · 372 lines · 0 tokens per session scan A fd00c932a314
market-report is a skill published in the GitHub repository tal7aouy/marketkit (2 stars, last pushed 1mo 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. It is 100% identical to market-report, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
marketing-expert
Build comprehensive marketing technology solutions including automation workflows, campaign management, analytics tracking, and multi-channel orchestration. Use when the user mentions marketing automation, campaign management, SEO, email or content marketing, attribution, or multi-channel orchestration.
seo-technical
Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".
seo-sxo
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says…
seo-flow
FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO…
seo-page
Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", "single URL", "check this page", "page analysis", or provides a single URL for review.
seo-programmatic
Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages"…