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.
Borrowing it
Nothing to install: this file belongs to vudovn/ag-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vudovn/ag-kit/main/.agents/skills/design-spec/SKILL.mdgit 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/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.
<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="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 15 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 5.5 | $0.00023 | $0.00755 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (8,199 stars, last pushed 3d ago), licensed MIT. It adds 58 tokens to every session and 1,888 once invoked, about $0.0002 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.
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