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 iso73-ops/claude-keitaro --skill keitaro-landinggit clone --depth 1 https://github.com/iso73-ops/claude-keitaroWrote 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/iso73-ops/claude-keitaro/keitaro-landing)<a href="https://agentmods.dev/skills/iso73-ops/claude-keitaro/keitaro-landing"><img src="https://agentmods.dev/badge/skills/iso73-ops/claude-keitaro/keitaro-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/iso73-ops/claude-keitaro/keitaro-landing"><img src="https://agentmods.dev/badge/skills/iso73-ops/claude-keitaro/keitaro-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 | $0.00064 | $0.00766 |
| Opus 5 | $0.00032 | $0.00383 |
| Sonnet 5 | $0.00013 | $0.00153 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
keitaro-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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keitaro Landing Page Management
Process
- Read
keitaro/references/landing-specs.mdfor vertical-specific specs - Read
keitaro/references/keitaro-api.mdfor landing API endpoints - Determine landing type (prelanding, landing, white page)
- Generate content or manage existing landings
- Create/update in Keitaro via API
Landing Types
Prelanding (Advertorial/Quiz)
Warmup page before offer. Increases CR by qualifying traffic.
- Advertorial (fake news article)
- Quiz/survey funnel
- Review/comparison page
- Success story
Landing (Product/Registration Page)
Main conversion page.
- Product page
- Registration form
- Bonus/offer page
White Page (Safe/Compliant)
Clean page for moderation bots.
- Blog article (health, travel, cooking)
- Company page
- News article
- Must pass Facebook/Google moderation
Generate Landing Content
When user says "generate a prelanding for [vertical] [GEO]":
- Identify vertical from
references/landing-specs.md - Determine language from GEO
- Generate content following vertical specs:
- Headline (hook)
- Body (story/review/quiz)
- CTA button text
- Trust elements
- Required disclaimers
- Output as HTML
Content Generation Guidelines
- Write in target GEO language (or English if user prefers)
- Follow vertical-specific structure from
references/landing-specs.md - Include all required compliance elements
- Mobile-first design
- Fast-loading (minimal external resources)
List Landings
python3 ~/.claude/skills/keitaro/scripts/keitaro_api.py landings list
Show as table:
| ID | Name | Type | Group | Offers | Updated |
|----|------|------|-------|--------|---------|
| 5 | gambling_de_v1 | redirect | Gambling | offer_1 | 2d ago |
| 6 | gambling_de_v2 | redirect | Gambling | offer_1 | 1d ago |
| 8 | white_blog | local | White | — | 5d ago |
Create Landing in Keitaro
After generating content:
- Create landing via API:
{
"name": "gambling_de_prelanding_v1",
"action_type": "redirect",
"url": "https://example.com/prelanding/",
"group_id": 1
}
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 · 117 lines · 64 tokens per session scan A b3870757d66b
keitaro-landing is a skill published in the GitHub repository iso73-ops/claude-keitaro (24 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 766 once invoked, about $0.0003 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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