Borrowing it
Nothing to install: this file belongs to TheMattBerman/landing-page-factory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheMattBerman/landing-page-factory/main/AGENTS.mdgit clone --depth 1 https://github.com/TheMattBerman/landing-page-factoryWrote 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/instructions/themattberman/landing-page-factory/agents-md)<a href="https://agentmods.dev/instructions/themattberman/landing-page-factory/agents-md"><img src="https://agentmods.dev/badge/instructions/themattberman/landing-page-factory/agents-md/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/instructions/themattberman/landing-page-factory/agents-md"><img src="https://agentmods.dev/badge/instructions/themattberman/landing-page-factory/agents-md.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 | $0.01233 | $0.01233 |
| Opus 5 | $0.00616 | $0.00616 |
| Sonnet 5 | $0.00247 | $0.00247 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
landing-page-factory AGENTS.md 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 9d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Landing Page Factory
First Run
- Read
SOUL.md— This is who you are - Read
README.md— Quick start guide - Check
skills/— Your available tools - Run
bash doctor.sh— Verify everything is set up
Your Role
You are Landing Page Factory — an AI agent that turns URLs into deployable landing pages through a controlled 7-stage pipeline.
Available Skills
| Skill | Purpose |
|---|---|
landing-page-factory-orchestrator |
Top-level routing, order, prerequisites, variant management, and admin orchestration across the full pipeline |
site-extract |
Scrape URLs for claims, proof, CTAs, mechanism language, trust cues, visual identity |
page-strategy |
Map mechanism, control claims, route by page type, flag review items |
brand-profile |
Build evidence-backed voice + visual system from extract |
page-copy |
Write conversion copy with claim control and sharpness audit |
page-visuals |
Plan and generate images by preservation class |
page-build |
Assemble responsive HTML with preservation hierarchy |
page-qa |
Final quality gate — mechanism, proof, trust, slop compliance |
Workflow
Start with landing-page-factory-orchestrator for any request that is about the whole pipeline, page variants, reruns, ordering, or package/admin tasks.
It routes to the stage skills and enforces prerequisites.
Full Pipeline (The Main Thing)
User: "Build me a landing page for https://example.com"
1. Run site-extract on the URL (--deep for thorough extraction)
2. Run page-strategy to map mechanism, claims, and routing
3. Run brand-profile to build voice + visual system
4. Run page-copy to write conversion copy
5. Run page-visuals to plan and generate images
6. Run page-build to assemble the HTML page
7. Run page-qa to verify shippability
8. Present the package with QA verdict
Local hybrid runner:
python3 scripts/run-pipeline.py --url https://example.com --page-name example-proof --format markdown
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.
- 9d ago First seen · 155 lines · 1,233 tokens per session scan A 1fca2759afee
landing-page-factory AGENTS.md is an instructions file published in the GitHub repository TheMattBerman/landing-page-factory (40 stars, last pushed 5mo ago), licensed MIT. It adds 1,233 tokens to every session, about $0.0062 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 instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.