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 ItamarZand88/awesome-agent-conventions --skill competitive-ads-extractorgit clone --depth 1 https://github.com/ItamarZand88/awesome-agent-conventionsWrote 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/itamarzand88/awesome-agent-conventions/competitive-ads-extractor)<a href="https://agentmods.dev/skills/itamarzand88/awesome-agent-conventions/competitive-ads-extractor"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/competitive-ads-extractor/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/itamarzand88/awesome-agent-conventions/competitive-ads-extractor"><img src="https://agentmods.dev/badge/skills/itamarzand88/awesome-agent-conventions/competitive-ads-extractor.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 | $0.00000 | $0.01843 |
| Opus 5 | $0.00000 | $0.00922 |
| Sonnet 5 | $0.00000 | $0.00369 |
| Haiku 4.5 | $0.00000 | $0.00184 |
Grade A, and why
competitive-ads-extractor 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 11d 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.
This is a copy
92% identical to competitive-ads-extractor — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: competitive-ads-extractor description: Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Competitive Ads Extractor
This skill extracts your competitors' ads from ad libraries and analyzes what's working—the problems they're highlighting, use cases they're targeting, and copy/creative that's resonating.
When to Use This Skill
- Researching competitor ad strategies
- Finding inspiration for your own ads
- Understanding market positioning
- Identifying successful ad patterns
- Analyzing messaging that works
- Discovering new use cases or pain points
- Planning ad campaigns with proven concepts
What This Skill Does
- Extracts Ads: Scrapes ads from Facebook Ad Library, LinkedIn, etc.
- Captures Screenshots: Saves visual copies of all ads
- Analyzes Messaging: Identifies problems, use cases, and value props
- Categorizes Ads: Groups by theme, audience, or format
- Identifies Patterns: Finds common successful approaches
- Provides Insights: Explains why certain ads likely perform well
How to Use
Basic Extraction
Extract all current ads from [Competitor Name] on Facebook Ad Library
Scrape ads from [Company] and analyze their messaging
Specific Analysis
Get all ads from [Competitor] focusing on their messaging
about [specific problem]. What pain points are they highlighting?
Competitive Set
Extract ads from these 5 competitors: [list].
Compare their approaches and tell me what's working.
Specific Platform
Get LinkedIn ads from [Competitor] and analyze their
B2B positioning strategy
Example
User: "Extract ads from Notion on Facebook Ad Library and tell me what messaging is working for them."
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.
- 11d ago First seen · 295 lines · 0 tokens per session scan A 5c9fbf1f7b7b
competitive-ads-extractor is a skill published in the GitHub repository ItamarZand88/awesome-agent-conventions (31 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,843 tokens. A static security scan graded it A with 0 findings. It is 92% identical to competitive-ads-extractor, differing in 1 line, and is treated as a copy.
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