z-models-vscode
Access Z.ai coding models within GitHub Copilot Chat
Install / Use
claude mcp add selfagency -- npx -y github:selfagency/z-models-vscodeIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of z-models-vscode
z-models-vscode scores 42/100 on our quality scale, 4323rd of 4,571 Development & Engineering skills we index.
Its MCP Server is 7.9 KB long, written without headings and no code examples: a thorough specification that gives an agent plenty to work with.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-10-19 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
z-models-vscode compared with similar skills
All 4 of these similar skills score higher than z-models-vscode; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| z-models-vscode (this skill)by selfagency | 42 | 0 | — | MCP Server |
| taste-skillby Leonxlnx | 100 | 102.3k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 102.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.8k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 65.4k | 4d ago | CLAUDE.md |
Frequently asked questions
- How do I install z-models-vscode?
- Run
claude mcp add selfagency -- npx -y github:selfagency/z-models-vscode. The install tabs above show the steps for each supported agent. - Which AI agents does z-models-vscode work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is z-models-vscode safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is z-models-vscode still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{
"name": "z-models-vscode",
"displayName": "Z.ai for Copilot",
"version": "0.2.0",
"description": "Access Z.ai (Zhipu) models within GitHub Copilot Chat",
"categories": [
"AI",
"Chat"
],
"keywords": [
"z",
"zai",
"z.ai",
"ai",
"copilot",
"chat",
"coding",
"code assistant",
"glm"
],
"repository": {
"type": "git",
"url": "https://github.com/selfagency/z-models-vscode.git"
},
"license": "MIT",
"qna": "marketplace",
"author": {
"name": "Daniel Sieradski",
"email": "daniel@self.agency",
"url": "https://self.agency"
},
"publisher": "selfagency",
"main": "./dist/extension.js",
"scripts": {
"check-types": "tsgo --noEmit",
"compile": "pnpm run check-types && pnpm run lint && tsup && node scripts/check-bundle.mjs",
"deploy": "vsce publish --no-dependencies",
"format": "oxfmt 'src//.ts' --write",
"lint:fix": "oxlint src --fix",
"lint": "oxlint src",
"package": "pnpm run check-types && pnpm run lint && NODE_ENV=production tsup && node scripts/check-bundle.mjs",
"prepare": "husky",
"release": "zx ./scripts/release.mjs",
"release:pre": "zx ./scripts/release.mjs --pre-release",
"test": "vitest run src",
"test:extension": "vscode-test test/integration",
"test:coverage": "vitest run --coverage",
"vscode:prepublish": "pnpm run package",
"watch:build": "tsup --watch",
"watch:tsc": "tsgo --noEmit --watch --project tsconfig.json",
"watch": "run-p watch:"
},
"contributes": {
"chatParticipants": [
{
"id": "z-models-vscode.z",
"name": "z",
"fullName": "Z.ai",
"description": "Ask questions using Z.ai models",
"when": "zModels.hasApiKey",
"isSticky": true,
"disambiguation": [
{
"category": "Z.ai",
"description": "Coding, reasoning, and agent tasks using GLM models",
"examples": [
"explain this TypeScript error",
"refactor this function safely",
"help me debug this failing test"
]
}
],
"commands": [
{
"name": "model",
"description": "Show how to switch Z.ai models"
},
{
"name": "vision",
"description": "Use image/vision workflows"
},
{
"name": "clear",
"description": "Start a new clean chat thread"
}
]
}
],
"commands": [
{
"command": "z-chat.manageApiKey",
"title": "Z: Manage API Key"
},
{
"command": "z-chat.manageSettings",
"title": "Z: Manage Settings"
},
{
"command": "z-chat.refreshUsage",
"title": "Z: Refresh Usage Stats"
},
{
"command": "z-chat.toggleUsageView",
"title": "Z: Toggle Usage View (Hourly/Weekly)"
}
],
"configuration": {
"title": "Z Models",
"properties": {
"zModels.api.endpointMode": {
"type": "string",
"default": "zaiCoding",
"enum": [
"zaiCoding",
"zaiGeneral",
"bigmodel",
"bigmodelCoding"
],
"markdownDescription": "Which API endpoint preset to use for model chat requests. zaiCoding uses https://api.z.ai/api/coding/paas/v4, zaiGeneral uses https://api.z.ai/api/paas/v4, bigmodel uses https://open.bigmodel.cn/api/paas/v4, and bigmodelCoding uses https://open.bigmodel.cn/api/coding/paas/v4."
},
"zModels.api.baseUrlOverride": {
"type": "string",
"default": "",
"description": "Optional custom API base URL override. If set, this value is used instead of endpointMode presets."
},
"zModels.mcpServers.vision": {
"type": "boolean",
"default": true,
"description": "Enable vision MCP server"
},
"zModels.mcpServers.search": {
"type": "boolean",
"default": true,
"description": "Enable search MCP server"
},
"zModels.mcpServers.reader": {
"type": "boolean",
"default": true,
"description": "Enable reader MCP server"
},
"zModels.mcpServers.zread": {
"type": "boolean",
"default": true,
"description": "Enable zread MCP server"
},
"zModels.usage.enabled": {
"type": "boolean",
"default": true,
"description": "Show Z.ai usage percentage in the status bar"
},
"zModels.usage.refreshInterval": {
"type": "number",
"default": 5,
"minimum": 1,
"description": "How often (in minutes) to refresh Z.ai usage data"
},
"zModels.tools.webSearch": {
"type": "boolean",
"default": true,
"description": "Enable the first-party Z.ai web search language model tool"
},
"zModels.tools.webFetch": {
"type": "boolean",
"default": true,
"description": "Enable the first-party Z.ai web fetch language model tool"
}
}
},
"languageModelChatProviders": [
{
"vendor": "z",
"displayName": "Z.ai",
"configuration": {
"managementCommand": "z-chat.manageApiKey"
}
}
],
"mcpServerDefinitionProviders": [
{
"id": "zModels.mcpServers",
"label": "Z.ai MCP Servers"
}
],
"languageModelTools": [
{
"name": "z_webSearch",
"toolReferenceName": "webSearch",
"displayName": "Z.ai Web Search",
"modelDescription": "Search the web and return results using Z.ai's search engine",
"userDescription": "Search the web",
"canBeReferencedInPrompt": true,
"inputSchema": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": [
"query"
]
}
},
{
"name": "z_webFetch",
"toolReferenceName": "webFetch",
"displayName": "Z.ai Web Fetch",
"modelDescription": "Fetch a URL and return its text content",
"userDescription": "Fetch a web page",
"canBeReferencedInPrompt": true,
"inputSchema": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to fetch"
}
},
"required": [
"url"
]
}
}
]
},
"activationEvents": [
"onLanguageModelChatProvider:z",
"onChatParticipant:z-models-vscode.z",
"onMcpServerDefinitionProvider:zModels.mcpServers"
],
"lint-staged": {
"src//*.ts": [
"oxlint --fix",
"oxfmt --write"
]
},
"dependencies": {
"@agentsy/context": "^0.2.4",
"@agentsy/core": "^0.2.0",
"@agentsy/providers": "^0.2.0",
"@agentsy/types": "^0.1.1",
"got": "^15.1.0",
"tiktoken": "^1.0.22"
},
"devDependencies": {
"@octokit/rest": "^22.0.1",
"@types/node": "^26.2.0",
"@types/vscode": "1.120.0",
"@typescript/native-preview": "7.0.0-dev.20260414.1",
"@vitest/coverage-v8": "^4.1.11",
"@vscode/dts": "^0.4.1",
"@vscode/test-cli": "^0.0.15",
"@vscode/test-electron": "^3.1.0",
"assert": "^2.1.0",
"husky": "^9.1.7",
"lint-staged": "^17.3.0",
"npm-run-all": "^4.1.5",
"ora": "^9.4.1",
"oxfmt": "^0.64.0",
"oxlint": "^1.79.0",
"oxlint-tsgolint": "^7.0.2001",
"tsup": "^8.5.1",
"typescript": "6.0.3",
"vitest": "^4.1.11",
"vscode": "^1.1.37",
"zx": "^8.8.5"
},
"packageManager": "pnpm@10.33.0+sha512.10568bb4a6afb58c9eb3630da90cc9516417abebd3fabbe6739f0ae795728da1491e9db5a544c76ad8eb7570f5c4bb3d6c637b2cb41bfdcdb47fa823c8649319",
"engines": {
"vscode": "^1.120.0"
},
"icon": "logo.png"
}
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
