aaron-marketing-skills is a collection of 120 AI-agent skills covering marketing work such as brand narrative, search optimization, social media, email, advertising, influencer campaigns, and launches. Marketers and agent users can install it as a plugin, use its portable skills, or run its described bot team. The catalogue entries are components of this marketing workflow.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aaron-he-zhu/aaron-marketing-skills/plugin install aaron-marketingWrote 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/aaron-he-zhu/aaron-marketing-skills/landing-experience-checker)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/landing-experience-checker"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/landing-experience-checker/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/aaron-he-zhu/aaron-marketing-skills/landing-experience-checker"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/landing-experience-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00125 | $0.02441 |
| Opus 5 | $0.00063 | $0.01221 |
| Sonnet 5 | $0.00025 | $0.00488 |
| Haiku 4.5 | $0.00013 | $0.00244 |
Grade A, and why
landing-experience-checker 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Experience Checker
Preflights the destination page against the ads before launch — ad↔page message-match continuity, above-the-fold offer/CTA presence, page-load speed, form-field friction, and mobile rendering — and returns a pass/fix punch list. This works the ROAS O (Offer) lever from the post-click side: it is the Quality-Score / landing-page-experience relevance check that stands between finished creative and a go-live decision. It checks only — it does not rewrite or redesign the page (that is landing-optimizer) and it does not compute the RQS or run vetoes (that is ad-account-auditor).
Quick Start
Preflight [destination URL] against these headlines: [paste] — flag message-match gaps before we launch
Run a Quality-Score landing preflight on [URL]: above-the-fold offer, speed, form friction, mobile
Ads point at [URL] but the landing-page-experience rating is "below average" — tell me which lever is failing
Skill Contract
Expected output: an ad↔page continuity punch list — each of the five checks (message-match, above-the-fold, speed, form friction, mobile) marked Pass / Partial / Fix with the specific gap and the one lever to hand off, plus the standard handoff summary for memory/ad/landing-experience-checker/.
- Reads: the destination URL (or its pasted copy), the ad headlines/hooks that point at it, the promised offer/claim, ROAS profile (
direct-response|prospecting|incremental-profit), and any~~page speed(PageSpeed/CrUX) read the user can run; accepted offer wording from the claims projection owned by offer-claims-registry, when present, to check the page still honors the live offer. - Writes: a user-facing continuity report (the five-check punch list) and a reusable handoff summary.
- Promotes: confirmed message-match breaks and any page-experience blocker to
memory/hot-cache.mdandmemory/open-loops.md; propose durable page-fix items as pending-decision, never as approved decisions. - Done when: all five checks are run and marked Pass / Partial / Fix, every Fix names the specific gap (not "improve the page"), and each failing check routes to the one sibling that owns the repair.
- Primary next skill: ad-account-auditor — the ROAS gate that scores the account and runs the launch go/no-go once the page is preflighted.
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.
- 10d ago Changed a8c7605868c5
- 13d ago First seen · 88 lines · 125 tokens per session scan A 91e5010c688c
landing-experience-checker is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed today), licensed Apache-2.0. It adds 125 tokens to every session and 2,441 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 2026-08-30.
Other skills, from other repositories
geo-visibility-check
One-shot GEO audit: does your brand appear in Claude, ChatGPT, and Gemini answers for the buyer questions that matter? Runs a prompt panel through the engines with citation tracing and reports per-prompt verdicts, who wins instead, and which sources the answers come from.
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
schema-generator
Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.