Borrowing it
Nothing to install: this file belongs to Fannon/u-he-preset-randomizer. 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/Fannon/u-he-preset-randomizer/main/AGENTS.mdgit clone --depth 1 https://github.com/Fannon/u-he-preset-randomizerWrote 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/fannon/u-he-preset-randomizer/agents-md)<a href="https://agentmods.dev/instructions/fannon/u-he-preset-randomizer/agents-md"><img src="https://agentmods.dev/badge/instructions/fannon/u-he-preset-randomizer/agents-md.svg" alt="Measured on agentmods" 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 | $0.01656 | $0.01656 |
| Opus 5 | $0.00828 | $0.00828 |
| Sonnet 5 | $0.00331 | $0.00331 |
| Haiku 4.5 | $0.00166 | $0.00166 |
Grade A, and why
u-he-preset-randomizer 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 8d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides context and guidance for AI coding assistants working on the u-he-preset-randomizer project.
Project Overview
This is a CLI tool that generates random u-he synthesizer presets through randomization and merging of existing presets. The tool:
- Analyzes existing preset libraries to understand parameter distributions
- Generates fully random presets based on statistical distributions
- Randomizes existing presets with configurable randomness ratios
- Merges multiple presets together with random weighting
Key Technologies:
- TypeScript (target: Node 20+)
- Node.js CLI application (production target)
- Bun for development and testing
- Uses ESM modules (
"type": "module"in package.json) - Built with
tsgo(TypeScript Go compiler) - Testing with Bun's built-in test runner
Architecture
Core Modules
-
parser.ts - Parses and serializes u-he preset files (.h2p format)
- Handles text and binary sections of preset files
- Exports
parsePreset()andserializePreset()functions - Can be used independently by other projects
-
analyzer.ts - Analyzes preset libraries to extract parameter statistics
- Calculates value distributions across preset collections
- Identifies parameter types (numeric, binary, etc.)
- Builds statistical models for randomization
-
randomizer.ts - Core randomization logic
- Generates fully random presets
- Randomizes existing presets with configurable ratios
- Merges multiple presets with random weighting
- Supports "stable" mode for more predictable results
- Handles binary sections (with
--binaryflag)
-
presetLibrary.ts - Manages preset discovery and loading
- Scans directories for u-he preset files
- Filters presets by pattern, folder, category, author, favorites
- Handles platform-specific preset locations
-
config.ts - Configuration management and CLI argument parsing
- Uses
yargsfor argument parsing - Uses
inquirerfor interactive mode - Validates and normalizes configuration
- Uses
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.
- 8d ago First seen · 212 lines · 1,656 tokens per session scan A 6d6523f43342
u-he-preset-randomizer AGENTS.md is an instructions file published in the GitHub repository Fannon/u-he-preset-randomizer (32 stars, last pushed 5mo ago), licensed MIT. It adds 1,656 tokens to every session, about $0.0083 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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vscode buildNext.instructions.md
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