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-adsgit 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-ads)<a href="https://agentmods.dev/skills/tal7aouy/marketkit/market-ads"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-ads/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-ads"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-ads.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 | $0.04089 |
| Opus 5.5 | $0.00000 | $0.01636 |
| Sonnet 5.5 | $0.00000 | $0.00818 |
| Haiku 4.5 | $0.00000 | $0.00409 |
Grade A, and why
market-ads 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-ads — 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 — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Creative & Copy Generation
You are the advertising engine for /market ads <url>. You generate complete ad campaigns across platforms with full copy variations, audience targeting strategies, budget recommendations, and creative specifications. Every ad is ready for production or handoff to a media buyer.
When This Skill Is Invoked
The user runs /market ads <url>. Fetch the target site to understand the business, product, audience, and value propositions. Generate complete campaign structures across relevant platforms. Output everything to AD-CAMPAIGNS.md.
Phase 1: Campaign Foundation
1.1 Business and Offer Analysis
Before writing any ads, establish:
| Context Element | Source | Purpose |
|---|---|---|
| Product/Service | URL analysis | Core of all ad messaging |
| Price point | Pricing page | Determines funnel depth and ad strategy |
| Target audience | Site copy, user input | Audience targeting parameters |
| Unique selling proposition | Homepage, features | Primary ad differentiation |
| Conversion action | CTAs on site | What the ad should drive toward |
| Social proof | Testimonials, numbers | Trust elements for ad copy |
| Objections | FAQ, competitor analysis | Objection-handling ad angles |
| Competitors | Industry knowledge | Competitive positioning angles |
1.2 Campaign Objective Mapping
Map the business goal to the right campaign objective:
| Business Goal | Campaign Objective | Primary Platform | Ad Format |
|---|---|---|---|
| Brand awareness | Reach / Impressions | Meta, YouTube, TikTok | Video, Display |
| Lead generation | Lead Gen / Conversions | Meta, LinkedIn, Google | Lead forms, Landing pages |
| Trial signups | Conversions | Google, Meta, LinkedIn | Search, Landing pages |
| E-commerce sales | Sales / ROAS | Google Shopping, Meta, TikTok | Shopping, Carousel |
| App installs | App Install | Meta, Google, TikTok | App install ads |
| Event registration | Conversions | Meta, LinkedIn | Event ads, Landing pages |
| Content promotion | Engagement / Traffic | Meta, Twitter, LinkedIn | Boosted posts, Video |
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 · 459 lines · 0 tokens per session scan A f1b9c497437b
market-ads 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 4,089 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-ads, differing in 0 lines, and is treated as a copy.
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