landing-page-factory-orchestrator

landing-page-factory-orchestrator is a skill for Claude Code, Codex from TheMattBerman/landing-page-factory. It costs 47 tokens per session (2,420 once invoked), scanned A, original, MIT.

A top-level coordinator for a landing-page production workflow. It decides which stages to run, checks that required files exist, and manages page versions and reruns.

In plain words
What is it for?
Routing requests, ordering extraction, strategy, copy, visual, build, and quality-check stages, managing variants, checking artifacts, and recording workflow progress.
Why use it?
It prevents stages from running in the wrong order or with missing information, and makes clear when work must stop or be repeated after a change.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Routing requests, ordering extraction, strategy, copy, visual, build, and quality-check stages, managing variants, checking artifacts, and recording workflow progress.

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Install with agentmods
npx agentmods add skills/themattberman/landing-page-factory/landing-page-factory-orchestrator
Install

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.

Any agent
npx skills add TheMattBerman/landing-page-factory --skill landing-page-factory-orchestrator
Clone the repo
git clone --depth 1 https://github.com/TheMattBerman/landing-page-factory

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for landing-page-factory-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator/github.svg)](https://agentmods.dev/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator"><img src="https://agentmods.dev/badge/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator/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.

agentmods 80×15 button for landing-page-factory-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator"><img src="https://agentmods.dev/badge/skills/themattberman/landing-page-factory/landing-page-factory-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.02420
Opus 5 $0.00023 $0.01210
Sonnet 5 $0.00009 $0.00484
Haiku 4.5 $0.00005 $0.00242

Measured 12d ago against content hash 87ac83ef6070, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

landing-page-factory-orchestrator 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/page-admin.py, scripts/run-pipeline.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/landing-page-factory-orchestrator/SKILL.md · 301 lines

How it starts

The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Landing Page Factory Orchestrator

This is the control layer.

Use this skill when the request is about:

  • building a full landing page pipeline
  • creating one or more page variants
  • rerunning selected stages after edits
  • figuring out the right order of operations
  • admin tasks around page package naming, artifact checks, cleanup, or memory logging

Do not replace the stage skills. This skill routes and supervises them.

What this skill owns

  • request classification
  • stage ordering
  • artifact preflight checks
  • hard-stop and downgrade enforcement
  • page naming and variant naming
  • deciding which stages must rerun after a change
  • memory logging in memory/YYYY-MM-DD.md

What this skill does not own

  • extraction logic
  • strategy logic
  • copywriting logic
  • image-generation logic
  • HTML build logic
  • QA scoring itself

Those belong to:

  • site-extract
  • page-strategy
  • brand-profile
  • page-copy
  • page-visuals
  • page-build
  • page-qa

Request classification

Route every request into one of these modes first.

1. Full pipeline

Examples:

Run in order:

  1. site-extract
  2. page-strategy
  3. brand-profile
  4. page-copy
  5. page-visuals
  6. page-build
  7. page-qa

2. Variant pipeline

Examples:

  • "Make a version for enterprise buyers"
  • "Build three angle variants"

Use the existing brand artifacts if available. Create a new page package per variant and rerun:

  1. page-strategy
  2. page-copy
  3. page-visuals
  4. page-build
  5. page-qa

Rerun site-extract or brand-profile only if source facts changed or the current brand artifacts are missing or weak.

3. Stage rerun

Examples:

  • "Rebuild visuals only"
  • "Run QA again"
  • "Update copy after strategy changes"

Only rerun the minimum necessary downstream stages.

Dependency rules:

  • strategy changed → rerun copy, visuals, build, qa
  • brand profile changed → rerun copy, visuals, build, qa
  • copy changed → rerun build, qa
  • visuals changed → rerun build, qa
  • build changed → rerun qa

Read the full file on GitHub · 301 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 12d ago First seen · 301 lines · 47 tokens per session scan A 87ac83ef6070

Subscribe to this mod's changes

landing-page-factory-orchestrator is a skill published in the GitHub repository TheMattBerman/landing-page-factory (40 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 2,420 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 2026-08-30.