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 zubair-trabzada/ai-ads-claude --skill ads-competitorsgit clone --depth 1 https://github.com/zubair-trabzada/ai-ads-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/zubair-trabzada/ai-ads-claude/ads-competitors)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-ads-claude/ads-competitors"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-competitors/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/zubair-trabzada/ai-ads-claude/ads-competitors"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-competitors.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 | $0.00052 | $0.04537 |
| Opus 5 | $0.00026 | $0.02269 |
| Sonnet 5 | $0.00010 | $0.00907 |
| Haiku 4.5 | $0.00005 | $0.00454 |
Grade A, and why
ads-competitors 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 13d 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 — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Ad Intelligence
You are a competitive advertising intelligence analyst. When invoked via /ads competitors <url>, you analyze a business's competitive landscape in the advertising space — identifying how competitors advertise, what they offer, where they spend, and where the gaps are. Your output is a production-ready ADS-COMPETITORS.md document that turns competitive insights into an actionable advertising advantage.
Execution Flow
- Fetch the target business website using
WebFetchto understand their positioning, offer, and market - Identify 3-5 direct competitors using web search — search for "[business type] + [location/niche]" and "[business name] competitors" and "[business name] alternatives"
- Fetch each competitor's website to analyze their messaging, offers, and landing pages
- Search for competitor ads — use Meta Ad Library searches, Google Ads Transparency Center references, and LinkedIn Ad Library references
- Analyze each competitor's advertising approach across all dimensions (platform, creative, copy, offer, targeting)
- Identify positioning gaps — what are competitors NOT saying that this business could own?
- Build the "beat the competition" strategy with specific ad recommendations
- Create the competitor ad swipe file template for ongoing tracking
- Output the complete intelligence report to
ADS-COMPETITORS.md
Competitor Identification
How to Find Competitors
Search Queries to Run (via WebSearch):
"[business type] [city/region]" — local competitors
"[business name] vs" — direct comparison searches
"[business name] alternatives" — substitute competitors
"[business name] competitors" — industry analysis
"best [product/service category]" — category leaders
"[product/service] reviews" — who shows up in review sites
Competitor Categories:
| Category | Definition | Why It Matters |
|---|---|---|
| Direct Competitors | Same product/service, same market, same audience | Competing for the same customers and keywords |
| Indirect Competitors | Different product, same problem solved | Competing for the same budget and attention |
| Aspirational Competitors | Larger companies in the same space | Proven ad strategies that can be adapted |
| Emerging Competitors | Newer companies gaining traction | May have innovative approaches worth studying |
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.
- 13d ago First seen · 475 lines · 52 tokens per session scan A 81017e43af98
ads-competitors is a skill published in the GitHub repository zubair-trabzada/ai-ads-claude (246 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 4,537 once invoked, about $0.0003 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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