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Monich AGENTS.md

Monich AGENTS.md is an instructions file for Codex, OpenCode from WyvernCW/Monich. It costs 820 tokens per session, scanned A, original, MIT.

Repository instructions for Monich, a collection of reusable skills for AI coding agents, including a skill for animated, scroll-based product webpages.

In plain words
What is it for?
Use it for requests involving parallax, pinned or sticky scrolling, product reveals, or Apple-, NVIDIA-, and Raycast-style landing pages.
Why use it?
It tells an agent which skill to use and which template files to inspect before creating that type of webpage.

Instructions file for CodexOpenCode

not rated 3 2mo ago A scan 820 tokens original MIT
View the source file WyvernCW/Monich
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.

agentmods
npx agentmods add instructions/wyverncw/monich/agents-md
Clone the repo
git clone --depth 1 https://github.com/WyvernCW/Monich

Made for: Codex, OpenCode.

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 Monich AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/wyverncw/monich/agents-md.svg)](https://agentmods.dev/instructions/wyverncw/monich/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/wyverncw/monich/agents-md"><img src="https://agentmods.dev/badge/instructions/wyverncw/monich/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 820 This file is loaded in full into every session.
When invoked 820 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00820 $0.00820
Opus 5 $0.00410 $0.00410
Sonnet 5 $0.00164 $0.00164
Haiku 4.5 $0.00082 $0.00082

Measured 4d ago against content hash 098122fcdd30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Monich 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 4d 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.

AGENTS.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Skill Registry

This repo contains portable AI coding-agent skills.

When the user asks for scroll-driven landing pages, parallax websites, pinned product showcases, Apple-like product pages, NVIDIA-like reveal pages, or Raycast-like app landing pages, use:

skills/monich/SKILL.md

Scroll Showcase Skill Triggers

Use the Monich skill for requests containing concepts like:

  • Raycast-style website
  • Apple-style showcase
  • NVIDIA-style showcase
  • RTX/GPU reveal page
  • scroll parallax
  • sticky scroll
  • pinned reveal
  • product storytelling
  • premium landing page
  • animated SaaS landing page
  • app showcase
  • AI browser landing page

Required Workflow

  1. Read skills/monich/SKILL.md.
  2. Read and recursively scan the whole templates/ folder before choosing references. Do not stop at top-level README files.
  3. If present, scan every folder and file inside templates/web-template/design-templates/, templates/web-template/horizontal-craft/, and templates/web-template/design-systems/.
  4. Read the actual source/reference files inside every template/reference folder, including .html, .css, .js, .jsx, .tsx, .md, .json, and any design-token files. Do not rely only on SKILL.md, README.md, info.md, or folder names.
  5. Build an inventory of template names, metadata, visual style, page type, layout pattern, motion pattern, component language, color system, typography, and stack.
  6. Compare the user's request against that inventory and present 2-4 closest template references to the user with a short rationale before implementation when the request is broad or style-sensitive.
  7. Choose the template or reference set most similar to what the user wants to build.
  8. Learn from selected references without copying their code line-by-line.
  9. Generate complete runnable code.
  10. Include responsive CSS.
  11. Include reduced-motion fallback.
  12. Avoid broken imports.
  13. Avoid copying Raycast, NVIDIA, Apple, or any real brand.
  14. Match visible copy to the language the user spoke.

Read the full file on GitHub · 78 lines

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. 4d ago First seen · 78 lines · 820 tokens per session scan A 098122fcdd30

Subscribe to this mod's changes

Monich AGENTS.md is an instructions file published in the GitHub repository WyvernCW/Monich (3 stars, last pushed 2mo ago), licensed MIT. It adds 820 tokens to every session, about $0.0041 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 2026-08-31.

Productivity
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