Borrowing it
Nothing to install: this file belongs to joby-aviation/noodles.gl. 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/joby-aviation/noodles.gl/main/AGENTS.mdgit clone --depth 1 https://github.com/joby-aviation/noodles.glWrote 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/joby-aviation/noodles.gl/agents-md)<a href="https://agentmods.dev/instructions/joby-aviation/noodles.gl/agents-md"><img src="https://agentmods.dev/badge/instructions/joby-aviation/noodles.gl/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/joby-aviation/noodles.gl/agents-md"><img src="https://agentmods.dev/badge/instructions/joby-aviation/noodles.gl/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 | $0.07993 | $0.07993 |
| Opus 5 | $0.03997 | $0.03997 |
| Sonnet 5 | $0.01599 | $0.01599 |
| Haiku 4.5 | $0.00799 | $0.00799 |
Grade A, and why
noodles.gl 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 today.
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 — 842 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - LLM Context for Noodles.gl
Note: This document is optimized for LLM consumption and provides comprehensive technical context for AI assistants working with the Noodles.gl codebase. For human-readable documentation, see /docs and /dev-docs.
This document provides essential context for Large Language Models (LLMs) working with the Noodles.gl codebase.
Project Overview
Noodles.gl is a React-based node-based editor for creating geospatial visualizations and animations. It combines visual programming with reactive data flow to build interactive presentations, high-quality renders, and data-driven animations.
Core Purpose
- Create animated timeline presentations and data visualizations
- Specialize in geospatial data, aviation routes, and interactive storytelling
- Enable rapid prototyping and development of complex visualizations
- Export to video, images, or interactive web presentations
Key Users
- Visualization experts creating presentation-ready graphics
- Developers doing rapid visualization prototyping
- Data scientists exploring and analyzing data
- Research teams publishing geospatial analysis
Quick Reference Links
- Architecture - System architecture, state management, and error handling
- Development Guide - Setup, commands, workflows, and best practices
- Testing Guide - Testing strategy, critical components, and runbook guidelines
- PR Guidelines - Creating focused PRs with tests and documentation
- Analytics - Privacy-preserving analytics guidelines
- Agent Harness - The in-app AI chat: providers, tool routing, context budgets
- Tech Stack - Complete technology listing
Architecture
Fundamental Concepts
Operators: Processing nodes that transform data
- Pure functions: deterministic (same inputs = same outputs)
- Reactive: automatically re-execute when upstream data changes
- Typed: use Zod schemas for input/output validation
- Memoized: results cached to avoid unnecessary recomputation
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.
- today Changed · +9 lines · +161 tokens per session fdda78c2702e
- 5d ago Changed · +89 lines · +857 tokens per session 7038f91bce99
- 11d ago First seen · 744 lines · 6,975 tokens per session scan A 3901cd58e2ad
noodles.gl AGENTS.md is an instructions file published in the GitHub repository joby-aviation/noodles.gl (62 stars, last pushed yesterday), licensed Apache-2.0. It adds 7,993 tokens to every session, about $0.0400 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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