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 apify/awesome-skills --skill apify-ads-intelligencegit clone --depth 1 https://github.com/apify/awesome-skillsWrote 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/apify/awesome-skills/apify-ads-intelligence)<a href="https://agentmods.dev/skills/apify/awesome-skills/apify-ads-intelligence"><img src="https://agentmods.dev/badge/skills/apify/awesome-skills/apify-ads-intelligence.svg" alt="Measured on agentmods" 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 | $0.00116 | $0.04424 |
| Opus 5 | $0.00058 | $0.02212 |
| Sonnet 5 | $0.00023 | $0.00885 |
| Haiku 4.5 | $0.00012 | $0.00442 |
Grade A, and why
apify-ads-intelligence 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads Intelligence Cluster
Answer natural language questions about ads, ad libraries, and competitor advertising activity by routing to the right Apify Actor and delivering a synthesized answer.
CLI rules: Always pass --user-agent apify-awesome-skills/apify-ads-intelligence, --json (or the relevant --format flag on datasets get-items), and 2>/dev/null. The --user-agent flag is critical for telemetry — never omit it.
Note on platform coverage
- Meta, Google, TikTok, LinkedIn: real public ad libraries with rich data (creatives, targeting, dates, reach where disclosed).
- X (Twitter): no public ad library exists. Coverage is a best-effort workaround that scrapes a brand's tweets and flags items with non-empty
cardfield orsourcecontaining "Ads" as likely promoted. Always include the caveat in synthesis output.
Note on overlap with apify-ecommerce
That skill has an ads-intelligence intent that routes to apify/facebook-ads-scraper for shallow Meta-ad lookups. This skill is the deep dive across all five platforms. If you only need Meta ads as a side detail of an ecommerce question, stay in apify-ecommerce. If ads are the main task, use this skill.
Prerequisites
(No need to check it upfront)
- Apify CLI v1.5.0+ (
npm install -g apify-cli) jq(recommended for response parsing and filtering;brew install jqon macOS,apt install jqon Linux)- Authentication via one of:
apify login(OAuth, opens browser)APIFY_TOKENenv variable (e.g.export APIFY_TOKEN=...or.envfile)- Token from Apify Console → Settings → Integrations
Verify auth: apify info --user-agent apify-awesome-skills/apify-ads-intelligence — should show username and userId.
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Detect intent and select Actor(s)
- [ ] Step 2: Fetch Actor schema
- [ ] Step 3: Ask user preferences (output format, result count, country)
- [ ] Step 4: Run the Actor (or Actors in parallel for cross-platform-audit) and fetch results
- [ ] Step 5: Synthesize a direct answer (not a data dump)
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.
- 7d ago First seen · 251 lines · 116 tokens per session scan A 7aeaa3af08f7
apify-ads-intelligence is a skill published in the GitHub repository apify/awesome-skills (248 stars, last pushed 24d ago), licensed Apache-2.0. It adds 116 tokens to every session and 4,424 once invoked, about $0.0006 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 2026-08-30.
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