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 naveedharri/benai-skills --skill ads-competitorgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/ads-competitor)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/ads-competitor"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-competitor/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/naveedharri/benai-skills/ads-competitor"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/ads-competitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00074 | $0.01351 |
| Opus 5 | $0.00037 | $0.00675 |
| Sonnet 5 | $0.00015 | $0.00270 |
| Haiku 4.5 | $0.00007 | $0.00135 |
Grade A, and why
ads-competitor 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ads-competitor — 100% identical, 0 lines differ
- ads-competitor — 98% identical, 17 lines differ
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Ad Intelligence
Process
- Identify target competitors (from user input or industry analysis)
- Read
ads/references/benchmarks.mdfor industry CPC/CTR/CVR baselines - Research competitor ad presence across platforms
- Analyze ad copy, creative, and messaging themes
- Estimate competitor spend and keyword strategy
- Identify gaps and opportunities
- Generate competitive intelligence report
Data Sources
Free Intelligence Sources
| Source | Platform | What You Can Find |
|---|---|---|
| Google Ads Transparency Center | Active ads, formats, geo targeting | |
| Meta Ad Library | Meta/Instagram | All active ads, creative, copy, spend range |
| LinkedIn Ad Library | Active ads from company pages | |
| TikTok Creative Center | TikTok | Top ads, trending creative, hashtags |
| Microsoft Ads | Microsoft | Limited — use auction insights |
Google Ads Auction Insights
Available from the user's own Google Ads account:
- Impression share vs competitors
- Overlap rate (how often you compete)
- Outranking share (who wins more often)
- Top of page rate and absolute top of page rate
- Available for Search and Shopping campaigns
Platform-Specific Research
- Ads Transparency Center: search by advertiser name or domain
- Search for competitor brand terms to see their ads live
- Auction Insights for impression share comparison
Meta
- Ad Library: filter by advertiser, country, platform (FB/IG), date range
- Shows creative (image/video), ad copy, active dates
- Shows platform placement (Facebook, Instagram, Audience Network)
- Ad Library: search by company name
- Shows Sponsored Content, Message Ads
- Limited data compared to Meta Ad Library
TikTok
- Creative Center: top-performing ads by industry, country, objective
- Hashtag analytics: trending sounds and hashtags
- No per-advertiser library — use Creative Center for industry trends
Competitive Analysis Framework
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 · 162 lines · 74 tokens per session scan A 1b05e2e1c673
ads-competitor is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 8d ago), licensed MIT. It adds 74 tokens to every session and 1,351 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 2026-08-30.
Other skills, from other repositories
project
A single starting point for setting up an AI-assisted project in Claude Cowork. It asks questions about the work, reviews available add-ons, and creates project instructions, custom agents, and connected workflows.
doc-html-slide
A renderer that turns presentation content into a single HTML slide deck that opens directly in a browser. It creates a 16:9 slide sequence with navigation, fullscreen viewing, printing to PDF, and speaker-note controls.
cs-channel-message
A channel-message writing tool for search ads, advertising, customer relationship messages, and app notifications. It uses the NCM sequence—Need, Channel, Moment, Message, and CTA—to adapt wording to where and when customers see it.
design-sync-upload
An uploader for design-system files such as DESIGN.md, tokens, logos, fonts, and images into Claude Design. It can either use an authenticated connection or prepare a folder and guide for manual upload.
design-tokens-transformer
A converter for design tokens, which are named values for colors, fonts, spacing, borders, shadows, and motion. It translates one shared token source into CSS variables and Tailwind or shadcn-style theme files, and can convert them back for checking.
media-higgsfield-explainer
A Higgsfield workflow for making non-photorealistic narrated explainer videos. It pairs each narration line with a 10-second animated clip and joins the clips into one finished video.