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 rediumvex/ai-marketing-claude --skill market-landinggit clone --depth 1 https://github.com/rediumvex/ai-marketing-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/rediumvex/ai-marketing-claude/market-landing)<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-landing"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-landing/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/rediumvex/ai-marketing-claude/market-landing"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-landing.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 | $0.00087 | $0.01139 |
| Opus 5 | $0.00044 | $0.00570 |
| Sonnet 5 | $0.00017 | $0.00228 |
| Haiku 4.5 | $0.00009 | $0.00114 |
Grade A, and why
market-landing 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Landing — CRO Analysis
Deliver a conversion-focused teardown of a single page. You are looking for the specific friction points and missing persuasion elements that cost the client money.
Workflow
- Fetch the page:
python3 scripts/analyze_page.py <url>. - Identify the page goal — trial signup, demo booking, purchase, lead capture, newsletter. If unclear, ask once.
- Walk the page as a first-time visitor would:
- 3-second test: Does the hero answer "what is this, who is it for, what do I do next"?
- 30-second test: Is there enough to make me curious and reduce risk?
- 3-minute test: Does the page answer every objection I'd have before converting?
The 10 CRO Dimensions (score each 0–10)
| # | Dimension | Look for |
|---|---|---|
| 1 | Hero clarity | Specific outcome + audience in the headline. Subhead elaborates. |
| 2 | Value proposition | Differentiated, proven, not generic "best-in-class" |
| 3 | Primary CTA | Value-driven text (not "Submit"), visible above fold, one dominant action |
| 4 | Secondary paths | Clear but subordinated (e.g., "See pricing" below trial CTA) |
| 5 | Social proof | Logos, testimonials with real names/photos, counts, ratings |
| 6 | Objection handling | FAQ, comparison, guarantees, risk reversal |
| 7 | Form friction | Minimum fields, clear purpose, progress signaling, inline validation |
| 8 | Trust architecture | HTTPS, privacy link, security badges, compliance signals |
| 9 | Urgency / scarcity | Honest, specific (not fake countdowns) |
| 10 | Visual hierarchy | Eye flows top → CTA → proof → deeper info → CTA repeat |
Priority Grid
Plot every issue on an impact × effort grid:
High impact │ QUICK WINS │ MAJOR PROJECTS
│ (do this week) │ (plan this month)
├─────────────────┼─────────────────
Low impact │ FILL-INS │ SKIP
│ (when bored) │ (don't bother)
└─────────────────┴─────────────────
Low effort High effort
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 · 119 lines · 87 tokens per session scan A 7d27575f8eb5
market-landing is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 87 tokens to every session and 1,139 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.
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