AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.
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 skills/vudovn/ag-kit/design-specnpx skills add vudovn/ag-kit --skill design-specgit clone --depth 1 https://github.com/vudovn/ag-kitWrote 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/skills/vudovn/ag-kit/design-spec)<a href="https://agentmods.dev/skills/vudovn/ag-kit/design-spec"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/design-spec.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.01888 |
| Opus 5 | $0.00029 | $0.00944 |
| Sonnet 5 | $0.00012 | $0.00378 |
| Haiku 4.5 | $0.00006 | $0.00189 |
Grade A, and why
design-spec 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 6d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DESIGN.md Specification
A DESIGN.md is the single source of truth for a project's visual language. Create it BEFORE building UI. Two layers: machine-readable design tokens (YAML front matter) + human-readable rationale (markdown body). Tokens are normative; prose gives context. Prose may use descriptive names ("Midnight Forest Green") that map to systematic token names (
primary).Format adapted from the DESIGN.md spec (Google Labs, Apache-2.0). A linter/exporter exists:
npx @google/design.md.📚 Reference library: collection.md — 70+ real-world DESIGN.md files (Airbnb, Stripe, Linear, Vercel, Apple…) to study or adapt as a starting point.
When to produce a DESIGN.md
This is a hard gate for UI work (see .agents/rules/design-rules.md): before writing components, pages, or styles, a DESIGN.md must exist at the project root. If absent, create it first from the brief; if present, read it and conform.
The token block converts cleanly to/from tokens.json, Figma variables, and Tailwind theme config — so it is the bridge between design intent and code.
1. File structure
---
<YAML token front matter>
---
# Project Name (optional title)
## Overview
## Colors
## Typography
## Layout
## Elevation & Depth
## Shapes
## Components
## Do's and Don'ts
Front matter MUST begin and end with a line containing exactly ---. Sections use ## headings, appear in the order above, and may be omitted if irrelevant. Domain-specific sections may be added.
2. Token schema (YAML front matter)
version: alpha # optional
name: Daylight Prestige
description: ... # optional
colors:
<token-name>: "#RRGGBB"
typography:
<token-name>:
fontFamily: Public Sans
fontSize: 48px
fontWeight: 600
lineHeight: 1.1
letterSpacing: -0.02em
rounded:
<scale>: 8px
spacing:
<scale>: 16px # Dimension or unitless number
components:
<component-name>:
backgroundColor: "{colors.primary}"
rounded: "{rounded.md}"
padding: 12px
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 186 lines · 58 tokens per session scan A ca2d60c173c1
design-spec is a skill published in the GitHub repository vudovn/ag-kit (8,170 stars, last pushed 6d ago), licensed MIT. It adds 58 tokens to every session and 1,888 once invoked, about $0.0003 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…