figurehead-rs AGENTS.md

figurehead-rs AGENTS.md is an instructions file for Codex, OpenCode from Mootikins/figurehead-rs. It costs 1,763 tokens per session, scanned A, original, MIT.

Development guidance for Figurehead, a Rust project that turns diagram text into outputs such as ASCII or SVG. It describes the project's pipeline from detecting and parsing a diagram through storing, arranging, and rendering it.

In plain words
What is it for?
Use it when developing Figurehead, especially when working on core traits, diagram-type plugins, parsing, layout, rendering, or tests.
Why use it?
It gives coding agents the project's architecture and design rules before they change the code. This reduces the chance of placing logic in the wrong component or breaking its plugin structure.

Instructions file for CodexOpenCode

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/mootikins/figurehead-rs/agents-md
Clone the repo
git clone --depth 1 https://github.com/Mootikins/figurehead-rs

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 figurehead-rs AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mootikins/figurehead-rs/agents-md.svg)](https://agentmods.dev/instructions/mootikins/figurehead-rs/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mootikins/figurehead-rs/agents-md"><img src="https://agentmods.dev/badge/instructions/mootikins/figurehead-rs/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,763 This file is loaded in full into every session.
When invoked 1,763 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 $0.01763 $0.01763
Opus 5 $0.00881 $0.00881
Sonnet 5 $0.00353 $0.00353
Haiku 4.5 $0.00176 $0.00176

Measured 5d ago against content hash 1b79f5e5227a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

figurehead-rs 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 5d 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 · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Development Guidelines

This document provides guidelines for AI agents working on the Figurehead project.

Architecture Overview

Figurehead follows a modular, plugin-based architecture inspired by mermaid.js:

Input → Detector → Parser → Database → Layout → Renderer → Output

Core Components

  1. Core Traits (src/core/): Define interfaces for all components

    • Diagram: Main entry point for each diagram type
    • Detector: Identifies diagram types from markup
    • Parser: Parses markup using chumsky
    • Database: Stores nodes, edges, and diagram data
    • LayoutAlgorithm: Arranges elements in coordinate space
    • Renderer: Generates output (ASCII, SVG, etc.)
  2. Plugins (src/plugins/): Implementations for specific diagram types

    • Each plugin implements all core traits
    • Currently: flowchart (basic implementation)
    • Future: sequence, class, gantt charts
  3. Pipeline: Data flows through stages using the traits

Development Principles

SOLID Principles

  • Single Responsibility: Each trait/component has one purpose
  • Open/Closed: Extensible through plugins, closed for modification
  • Liskov Substitution: All implementations can replace their interfaces
  • Interface Segregation: Small, focused traits
  • Dependency Inversion: Depend on abstractions, not concretions

Rust Idioms

  • Use match, iterators, and &[Type] instead of Vec where possible
  • Prefer Result<T, E> over exceptions
  • Use trait objects (dyn Trait) for runtime polymorphism
  • Leverage zero-cost abstractions and compile-time guarantees

Test-Driven Development (TDD)

  1. Write failing tests first
  2. Implement minimal code to make tests pass
  3. Refactor while maintaining test coverage
  4. Use property-based testing for complex logic

Implementation Guidelines

When Adding New Diagram Types

  1. Create Plugin Structure:
    // src/plugins/newtype/mod.rs
    pub struct NewTypeDiagram;
    
    impl Diagram for NewTypeDiagram {
        type Database = NewTypeDatabase;
        type Parser = NewTypeParser;
        type Renderer = NewTypeRenderer;
        // ... implement all methods
    }
    

Read the full file on GitHub · 261 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. 5d ago First seen · 261 lines · 1,763 tokens per session scan A 1b79f5e5227a

Subscribe to this mod's changes

figurehead-rs AGENTS.md is an instructions file published in the GitHub repository Mootikins/figurehead-rs (5 stars, last pushed 1mo ago), licensed MIT. It adds 1,763 tokens to every session, about $0.0088 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.

Related

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.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,182 tokens

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).

microsoft/vscode · 6,785 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

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.

langchain-ai/langchain · 4,469 tokens

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).

microsoft/vscode · 5,001 tokens