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.
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/commands/ad-superpowers/ad-superpowers-plugin/landing-page-analyzer)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/landing-page-analyzer"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/landing-page-analyzer.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 | $0.00033 | $0.01580 |
| Opus 5 | $0.00016 | $0.00790 |
| Sonnet 5 | $0.00007 | $0.00316 |
| Haiku 4.5 | $0.00003 | $0.00158 |
Grade A, and why
landing-page-analyzer 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 8d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platforms: meta, google_ads, linkedin, tiktok, google_analytics Tier: pro
This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.
CRO & Landing Page Quality Assessment
Analyze [specify landing_page_url] for conversion optimization.
Objective: [specify campaign_objective] Audience: Not specified Industry: General
Conditional: if ad_copy Ad Copy: [specify ad_copy]
Conditional: if ga4_property_id GA4 Property: [specify ga4_property_id]
OUTPUT FORMAT (CRITICAL - follow this EXACT structure)
OVERALL SCORE: [XX]/100
[2-3 sentence summary of conversion potential]
CONVERSION SCORECARD
| Category | Score | Status | Priority Fix |
|---|---|---|---|
| Message Match | [X]/20 | [Good/Needs Work/Critical] | [Yes/No] |
| Value Proposition | [X]/20 | ... | ... |
| Trust & Credibility | [X]/15 | ... | ... |
| CTA Effectiveness | [X]/15 | ... | ... |
| Form Optimization | [X]/10 | ... | ... |
| Mobile Experience | [X]/10 | ... | ... |
| Technical Performance | [X]/10 | ... | ... |
| TOTAL | [XX]/100 |
80-100: Excellent | 60-79: Good | 40-59: Needs work | <40: Major overhaul
TOP 3 ISSUES
- [Critical issue] - Est. impact: +[X]% conversion rate
- [Important issue] - Est. impact: +[X]% conversion rate
- [Secondary issue] - Est. impact: +[X]% conversion rate
QUICK WINS (< 1 hour)
- [Quick fix 1]
- [Quick fix 2]
A/B TEST SUGGESTIONS
| Test | Hypothesis | Priority | Expected Lift |
|---|---|---|---|
| [Test 1] | If [change], then [outcome] because [reason] | High | +[X]% |
PROJECTED IMPACT
| Metric | Current | Projected | Improvement |
|---|---|---|---|
| Conversion Rate | [X]% | [X]% | +[X]% |
| CPA | [amount] | [amount] | -[X]% |
| Monthly Conversions | [X] | [X] | +[X] |
EXECUTION STEPS
Step 1: Crawl the Page
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.
- 8d ago First seen · 149 lines · 33 tokens per session scan A 9253fe934a87
landing-page-analyzer is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 10d ago), licensed MIT. It adds 33 tokens to every session and 1,580 once invoked, about $0.0002 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.
Other commands, from other repositories
meta-audit
Full Meta Ads account audit, tailored to ecommerce or lead-gen automatically.
setup
First-run setup for the ga-mcp-full MCP server — install the CLI if needed, then complete the browser login.
audit
Google Ads command — audit.
logout
Google Ads command — logout.
status
Google Ads command — status.
checklist
Generate a custom checklist for the current feature based on user requirements.