What is vscode-web-components-ai AGENTS.md?

A project guide for AI assistants working on a VS Code extension that exposes information about web components through MCP. Web components are reusable custom browser elements, and MCP is a way for AI tools to access structured project information.

Use it when developing, testing, formatting, bundling, or publishing the vscode-web-components-ai extension.

It tells agents what the project does, what it needs installed, and which commands check, build, format, and package the extension. This helps them follow the repository’s development process.

How d13/vscode-web-components-ai configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to d13/vscode-web-components-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/d13/vscode-web-components-ai/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/d13/vscode-web-components-ai

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/d13/vscode-web-components-ai/agents-md/github.svg)](https://agentmods.dev/instructions/d13/vscode-web-components-ai/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/d13/vscode-web-components-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/d13/vscode-web-components-ai/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/d13/vscode-web-components-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/d13/vscode-web-components-ai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,377 This file is loaded in full into every session.

When invoked 1,377 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01377	$0.01377
Opus 5.5	$0.00551	$0.00551
Sonnet 5.5	$0.00275	$0.00275
Haiku 4.5	$0.00138	$0.00138

Measured 2mo ago against content hash f3134fa30c79, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vscode-web-components-ai 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 2mo 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 · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI-powered coding assistants (Augment Agent Mode, Augment Auggie CLI, Copilot Agent Mode, Claude Code, Cursor, Windsurf, etc.) when working with code in this repository. Read this before writing, editing, or executing anything in this repo.

Project Overview

This is a VS Code extension that provides web component information to AI assistants via Model Context Protocol (MCP). The extension discovers custom elements manifests in workspaces and exposes them through an MCP server with HTTP/SSE transports.

Common Commands

Prerequisites

nvm use - Switch to the correct Node.js version
corepack enable - Enable corepack for package manager
pnpm install - Install dependencies

Development

pnpm run build - Build extension in development mode
pnpm run bundle - Build extension for production
pnpm run watch - Watch mode for development
pnpm run clean - Clean build artifacts

Code Quality

pnpm run lint - Run ESLint on TypeScript files
pnpm run lint:fix - Run ESLint with auto-fix
pnpm run format - Format code with Prettier
pnpm run format:check - Check code formatting

Packaging & Publishing

pnpm run package - Create VSIX package
pnpm run package-pre - Create pre-release VSIX package
pnpm run pub - Publish to marketplace
pnpm run pub-pre - Publish pre-release to marketplace
pnpm run generate:licenses - Generate license files

Architecture Overview

Core Components

Extension Entry Point (src/extension.ts):

Main activation point that initializes logging, configuration, and container
Sets up the dependency injection container and registers commands

Container (src/container.ts):

Dependency injection container managing all services and providers
Central point for service resolution and lifecycle management

MCP Provider (src/mcp/provider.ts):

Core MCP server implementation providing web component data
Serves HTTP and SSE endpoints for AI assistant integration
Implements MCP tools: search-components, get-component-details, list-all-components

Read the full file on GitHub · 178 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.

2mo ago First seen · 178 lines · 1,377 tokens per session scan A f3134fa30c79

Subscribe to this mod's changes

vscode-web-components-ai AGENTS.md is an instructions file published in the GitHub repository d13/vscode-web-components-ai (11 stars, last pushed 1y ago), licensed MIT. It adds 1,377 tokens to every session, about $0.0055 per session on Opus 5.5. 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.

cursor custom-elements mcp-server vscode vscode-extension web-components

vscode-web-components-ai AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
vscode-web-components-ai AGENTS.mdd13/vscode-web-components-ai	Instructions file	11	1y ago	MIT	A	1,377	Codex, OpenCode
plugin-files-modegriddynamics/rosetta	Instructions file	370	yesterday	Apache-2.0	A	236	GitHub Copilot
md-feedback copilot-instructions.mdyeominux/md-feedback	Instructions file	5	7mo ago	none	A	309	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot

vscode-web-components-ai: Instructions file for Codex