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 amirjahfar1/automate-seo-with-claude --skill seo-adsgit clone --depth 1 https://github.com/amirjahfar1/automate-seo-with-claudeWrote 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/amirjahfar1/automate-seo-with-claude/seo-ads)<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-ads"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-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/amirjahfar1/automate-seo-with-claude/seo-ads"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-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 | $0.00113 | $0.02886 |
| Opus 5 | $0.00056 | $0.01443 |
| Sonnet 5 | $0.00023 | $0.00577 |
| Haiku 4.5 | $0.00011 | $0.00289 |
Grade A, and why
seo-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 12d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-ads-hostinger-com-20260514/ADS.md
Paid-Search Intelligence (Ads)
Map the competitive paid-search landscape around a domain's or keyword's target terms, reconstructed keyword-by-keyword from the live SERP ad block. Output: a brief on who is bidding (and on what copy), who else bids on the same terms, ad-copy patterns the leading advertisers use, CPC/competition signals, SERP ad+shopping presence per keyword, and a recommended bid-keyword shortlist.
Limitation — read this first. Domain-level "all keywords a competitor bids on" requires a paid-keyword database. This skill reconstructs the paid footprint keyword-by-keyword from live SERP ad blocks — narrower than a paid-keyword database, but needs no extra subscription. In domain mode, you supply (or the skill seeds) the keyword set to probe; the skill cannot enumerate every term a competitor secretly bids on, only what surfaces as ads for the keywords probed.
Prerequisites
- DataForSEO MCP server connected. (Provides the live SERP ad blocks and Google Ads CPC/competition data the paid landscape is reconstructed from.)
- GA4 already connected (
mcp__google-analytics__*) for own paid-traffic performance (Paid Search channel). - User provides: (a) a target domain OR a target keyword (skill detects which), (b) a seed keyword set when in domain mode (the terms to probe — derive from the brand's category/products if the user gives none), (c) target country (default
us).
Process
- Validate input & preflight
- Determine: domain mode (probe a seed keyword set and isolate the target brand's ads) or keyword mode (analyse the bidding landscape for one keyword).
- In domain mode, assemble the seed keyword set: use the user's list if provided, otherwise derive ~10–20 head terms from the brand's category, products, and homepage. State the seed set explicitly — it defines the footprint this run can see.
- DataForSEO bills per call; this run issues ~10–25 calls (one SERP call per seed keyword + one volume/CPC batch). Use the documented
limit/ceilingparams to cap.
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.
- 12d ago First seen · 164 lines · 113 tokens per session scan A 4e9540c3312a
seo-ads is a skill published in the GitHub repository amirjahfar1/automate-seo-with-claude (2 stars, last pushed 3mo ago), licensed MIT. It adds 113 tokens to every session and 2,886 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 2026-08-31.
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