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.
npx agentmods add instructions/openkaiden/kaiden/agents-mdgit clone --depth 1 https://github.com/openkaiden/kaidenWhat 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 | $0.02514 | $0.02514 |
| Opus 5 | $0.01257 | $0.01257 |
| Sonnet 5 | $0.00503 | $0.00503 |
| Haiku 4.5 | $0.00251 | $0.00251 |
Grade A, and why
kaiden 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 3d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI code assistants when working with code in this repository.
Project Overview
Kaiden is an Electron-based desktop application built with Svelte that provides AI-powered container and Kubernetes management capabilities. It integrates with multiple AI providers (Gemini, OpenAI-compatible services, OpenShift AI) and supports flow execution through providers like Goose. The application also implements the Model Context Protocol (MCP) for AI agent integration.
Core Architecture
Multi-Process Electron Application
Kaiden follows the standard Electron architecture with three main processes:
- Main Process (
packages/main): Node.js backend handling system integration, extension loading, container/Kubernetes operations, and business logic - Renderer Process (
packages/renderer): Svelte-based UI running in the browser context - Preload Scripts (
packages/preloadandpackages/preload-webview): Bridge layer for secure IPC communication between main and renderer
Plugin System and Dependency Injection
The core plugin system is implemented in packages/main/src/plugin/index.ts using Inversify for dependency injection. Key components include:
- PluginSystem class: Orchestrates extension loading, configuration registry, and all core services
- Extension Loader (
ExtensionLoader): Manages extension lifecycle (loading, starting, stopping, uninstalling) - Container: Inversify DI container binding all major registries and managers as singletons
All major services are registered as singletons in the DI container during initialization:
ProviderRegistry: Manages inference, container, and Kubernetes providersContainerProviderRegistry: Handles Docker/Podman container operationsKubernetesClient: Kubernetes cluster managementMCPManagerandMCPRegistry: Model Context Protocol integrationFlowManager: Manages flow execution with providers like GooseChatManager: AI chat functionalityConfigurationRegistry: Settings and configuration management
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.
- 3d ago First seen · 292 lines · 2,514 tokens per session scan A 6dc20faaf6a8
kaiden AGENTS.md is an instructions file published in the GitHub repository openkaiden/kaiden (100 stars, last pushed 3d ago), licensed Apache-2.0. It adds 2,514 tokens to every session, about $0.0126 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
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).
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.
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.
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.
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.