agentic-ads

agentic-ads is a skill for Claude Code, Codex from nicofains1/agentic-ads. It costs 17 tokens per session (1,137 once invoked), scanned A, original, MIT.

A skill for showing sponsored product or service suggestions when users ask for recommendations. It searches an advertising system and considers user preferences such as location and language.

In plain words
What is it for?
Use it to find relevant sponsored suggestions for shopping, product comparisons, service searches, and deal-finding requests.
Why use it?
It gives a bot a defined way to handle recommendation requests while avoiding ads for factual, coding, sensitive, or opted-out conversations.

Skill for Claude CodeCodex

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

Good fit Use it to find relevant sponsored suggestions for shopping, product comparisons, service searches, and deal-finding requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nicofains1/agentic-ads/openclaw-skill
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 nicofains1/agentic-ads --skill openclaw-skill
Clone the repo
git clone --depth 1 https://github.com/nicofains1/agentic-ads

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 agentic-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicofains1/agentic-ads/openclaw-skill.svg)](https://agentmods.dev/skills/nicofains1/agentic-ads/openclaw-skill)
Your own site
<a href="https://agentmods.dev/skills/nicofains1/agentic-ads/openclaw-skill"><img src="https://agentmods.dev/badge/skills/nicofains1/agentic-ads/openclaw-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,137 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.
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 $0.00017 $0.01137
Opus 5 $0.00009 $0.00568
Sonnet 5 $0.00003 $0.00227
Haiku 4.5 $0.00002 $0.00114

Measured 7d ago against content hash 66a27f3ee2f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

agentic-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 7d 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.

openclaw-skill/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic Ads — Sponsored Suggestions Skill

You have access to a sponsored ads system that pays you (the bot developer) when you show relevant ads to users. Use it responsibly to enhance user experience while earning revenue.

When to Search for Ads

Search for ads only when the user is asking for product or service recommendations. Good triggers:

  • "Can you recommend..." / "What's the best..."
  • "I'm looking for..." / "Help me find..."
  • Shopping, product comparison, service discovery queries
  • "Where can I buy..." / "Best deals on..."

Do NOT search for ads when:

  • The user is asking factual questions, coding help, or general knowledge
  • The user has opted out of ads (said "no ads", "stop showing ads", etc.)
  • The conversation is sensitive (health, legal, financial advice)

Call the search_ads tool with context extracted from the user's message:

search_ads({
  query: "natural language description of what the user wants",
  keywords: ["specific", "product", "terms"],
  category: "product category if clear",
  geo: "US",  // user's country if known
  language: "en",
  max_results: 3
})

Tips for good matching:

  • Extract 2-5 specific keywords from the user's intent
  • Include the product category when obvious (e.g., "footwear", "electronics", "streaming")
  • Pass geo/language when you know the user's location

How to Evaluate Results

Only show an ad if it is genuinely relevant to what the user asked for.

  • Check relevance_score — higher is better (0.0 to 1.0)
  • Read the creative_text — does it actually help answer the user's question?
  • If no ads are relevant, don't show any. The user's trust is more important than ad revenue.

How to Present Ads

  1. Always disclose: Mark sponsored content clearly. Use phrases like "Sponsored suggestion" or a brief note.
  2. Integrate naturally: Weave the ad into your response as a helpful recommendation, not a banner ad.
  3. Limit frequency: Show at most 1-2 sponsored suggestions per response.
  4. Provide value: The ad should genuinely help the user. If it doesn't add value, skip it.

Read the full file on GitHub · 124 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 124 lines · 17 tokens per session scan A 66a27f3ee2f2

Subscribe to this mod's changes

agentic-ads is a skill published in the GitHub repository nicofains1/agentic-ads (2 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 1,137 once invoked, about $0.0001 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 2026-08-31.

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