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 5.5 | $0.00000 | $0.01496 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 2mo 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.
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