directory-listing-ads

directory-listing-ads is a skill for Claude Code, Codex from kostja94/marketing-skills. It costs 81 tokens per session (1,011 once invoked), scanned A, original, MIT.

A guide to paying for better visibility inside software directories and app marketplaces. These are listing sites where people compare and discover products.

In plain words
What is it for?
Use it to plan sponsored listings, search ads, category placements, and other paid promotions on directories such as G2, Capterra, or the Shopify App Store.
Why use it?
It helps distinguish paid placement from simply submitting a product listing and explains where sponsored visibility may fit.

Skill for Claude CodeCodex

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

not rated 967repo +13 3mo ago A scan Socket: passSnyk: passSkillSpector: pass 81 tokens original MIT

Good fit Use it to plan sponsored listings, search ads, category placements, and other paid promotions on directories such as G2, Capterra, or the Shopify App Store.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kostja94/marketing-skills/directory-listing-ads
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 kostja94/marketing-skills --skill directory-listing-ads
Clone the repo
git clone --depth 1 https://github.com/kostja94/marketing-skills

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 directory-listing-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/kostja94/marketing-skills/directory-listing-ads/github.svg)](https://agentmods.dev/skills/kostja94/marketing-skills/directory-listing-ads)
Your own site
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/directory-listing-ads"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/directory-listing-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.

agentmods 80×15 button for directory-listing-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/directory-listing-ads"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/directory-listing-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,011 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
  • Socket pass 28 Mar 2026
  • Snyk pass 28 Mar 2026
  • 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 $0.00081 $0.01011
Opus 5 $0.00041 $0.00505
Sonnet 5 $0.00016 $0.00202
Haiku 4.5 $0.00008 $0.00101

Measured 9d ago against content hash b2754c962851, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

directory-listing-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 9d 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

2 near-identical copies found in the catalogue:

skills/paid-ads/formats/directory-listing-ads/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Guides paid promotions within directories and marketplaces: Taaft, Shopify App Store, G2, Capterra. Use when you have a listing and want to boost visibility with paid placements. Listing first: Ensure product is submitted—see directory-submission for listing prep and submission workflow.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Platform Overview

Platform Ad type Model Best for
Taaft Banners, sponsored listings, campaigns Paid placements; listing + newsletter + ads + social bundles AI tools; 80M+ users; 46K+ tools
Shopify App Store Search ads, homepage ads, category ads CPC; daily budget Shopify app developers; merchant discovery
G2 Paid Promotions, G2 Clicks Quarterly or PPC B2B SaaS; category/competitor pages
Capterra Sponsored listings PPC B2B software; 50M+ annual visitors

Taaft (There's An AI For That)

  • Traffic: 80M+ users; 46K+ AI tools; 11K+ categories
  • Ad options: Banner ads; sponsored listings at top of pages; marketing campaigns (listing + newsletter + ads + social)
  • Listing first: Submit via taaft.com/submit or theresanaiforthat.com; 700–10K+ visitors per listing
  • Early launch bonus: Up to $300 PPC credits for launching on Taaft first
  • UTM: Use utm_source=taaft_feat&utm_medium=referral for PPC ads

Shopify App Store

  • Ad types: Search ads (in results when merchants search); homepage ads; category page ads
  • Model: Cost-per-click; set daily budget; Shopify auto-generates ad appearance
  • Placement: ~60% of installs from search—search ads critical for discovery
  • Credit: New eligible app developers receive $100 USD ad credit
  • Management: Partner Dashboard—edit budget, device/geo targeting, keywords; monitor CTR, install rate, cost per install
  • Limitation: App, placement, plan-based targeting cannot change after creation; stop and create new campaign to change

Read the full file on GitHub · 74 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. 9d ago First seen · 74 lines · 81 tokens per session scan A b2754c962851

Subscribe to this mod's changes

directory-listing-ads is a skill published in the GitHub repository kostja94/marketing-skills (967 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 1,011 once invoked, about $0.0004 per session on Opus 5. 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 2026-09-03.

Related

Other skills, from other repositories

product-feed-optimizer

Use when the user asks to "optimize my Shopping feed", "fix product disapprovals", "improve product titles/attributes", or "build feed-driven PMax asset groups"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price…

aaron-he-zhu/aaron-marketing-skills · 144 tokens

email-lifecycle

Plan, build, and run lifecycle email programs through the Hyper MCP — welcome / onboarding, nurture, re-engagement, win-back, and abandoned-cart sequences across whichever provider fits (Klaviyo for ecommerce, Resend for SaaS / dev tools, Beehiiv for newsletters, Gmail for low-volume ops). Use when the user wants to…

hyperfx-ai/marketing-skills · 111 tokens

amazon-ads

Plan and create Amazon Sponsored Products campaigns end-to-end via the Hyper MCP. Use when the user wants to launch Amazon Ads, set up Sponsored Products, manage keyword targeting and bids, configure ASIN or category product targeting, add negative keywords, automate budget rules, analyze ACoS / ROAS, or generate…

hyperfx-ai/marketing-skills · 87 tokens

seo-ecommerce

E-commerce SEO, product schema validation, faceted navigation indexing control, out-of-stock URL management, and Google Merchant Center optimization.

seoskillsai/seo-skills-ai · 30 tokens

SEO Content Optimizer

Analyzes and rewrites content to maximize search engine visibility without sounding robotic.

Notysoty/openagentskills · 20 tokens

member-insights

Use to analyze loyalty member behavior, segmentation, and experiment results.

The-Utopia-Studio/skills · 17 tokens