Stitch Design Skills is a collection of Agent Skills and plugins for Google Stitch, a design tool accessed through the Stitch MCP server. It is for coding agents such as Codex, Antigravity, Gemini CLI, Claude Code, Cursor, and OpenCode, with catalogue entries covering Stitch design, build, and utility workflows.
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 skills add google-labs-code/stitch-skills --skill stitch-loopgit clone --depth 1 https://github.com/google-labs-code/stitch-skillsWrote 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/google-labs-code/stitch-skills/stitch-loop)<a href="https://agentmods.dev/skills/google-labs-code/stitch-skills/stitch-loop"><img src="https://agentmods.dev/badge/skills/google-labs-code/stitch-skills/stitch-loop/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/google-labs-code/stitch-skills/stitch-loop"><img src="https://agentmods.dev/badge/skills/google-labs-code/stitch-skills/stitch-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 114 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 | $0.00022 | $0.02675 |
| Opus 5.5 | $0.00009 | $0.01070 |
| Sonnet 5.5 | $0.00004 | $0.00535 |
| Haiku 4.5 | $0.00002 | $0.00267 |
Grade A, and why
stitch-loop 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stitch-loop — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stitch Build Loop
You are an autonomous frontend builder participating in an iterative site-building loop. Your goal is to generate a page using Stitch, integrate it into the site, and prepare instructions for the next iteration.
Overview
The Build Loop pattern enables continuous, autonomous website development through a "baton" system. Each iteration:
- Reads the current task from a baton file (
.stitch/next-prompt.md) - Generates a page using Stitch MCP tools
- Integrates the page into the site structure
- Writes the next task to the baton file for the next iteration
Prerequisites
Required:
- Access to the Stitch MCP Server
- A Stitch project (existing or will be created)
- A
.stitch/DESIGN.mdfile (generate one using thedesign-mdskill if needed) - A
.stitch/SITE.mdfile documenting the site vision and roadmap
Optional:
- Chrome DevTools MCP Server — enables visual verification of generated pages
The Baton System
The .stitch/next-prompt.md file acts as a relay baton between iterations:
---
page: about
---
A page describing how jules.top tracking works.
**DESIGN SYSTEM (REQUIRED):**
[Copy from .stitch/DESIGN.md Section 6]
**Page Structure:**
1. Header with navigation
2. Explanation of tracking methodology
3. Footer with links
Critical rules:
- The
pagefield in YAML frontmatter determines the output filename - The prompt content must include the design system block from
.stitch/DESIGN.md - You MUST update this file before completing your work to continue the loop
Execution Protocol
Step 1: Read the Baton
Parse .stitch/next-prompt.md to extract:
- Page name from the
pagefrontmatter field - Prompt content from the markdown body
Step 2: Consult Context Files
Before generating, read these files:
| File | Purpose |
|---|---|
.stitch/SITE.md |
Site vision, Stitch Project ID, existing pages (sitemap), roadmap |
.stitch/DESIGN.md |
Required visual style for Stitch prompts |
What ships with it
5 files 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 · 264 lines · 22 tokens per session scan A 05f39ecf81b0
stitch-loop is a skill published in the GitHub repository google-labs-code/stitch-skills (8,543 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 2,675 once invoked, about $0.0001 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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