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.
git clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-pluginsWrote 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/commands/joaquimscosta/arkhe-claude-plugins/stitch-generate)<a href="https://agentmods.dev/commands/joaquimscosta/arkhe-claude-plugins/stitch-generate"><img src="https://agentmods.dev/badge/commands/joaquimscosta/arkhe-claude-plugins/stitch-generate/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/commands/joaquimscosta/arkhe-claude-plugins/stitch-generate"><img src="https://agentmods.dev/badge/commands/joaquimscosta/arkhe-claude-plugins/stitch-generate.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.00911 |
| Opus 5.5 | $0.00006 | $0.00364 |
| Sonnet 5.5 | $0.00003 | $0.00182 |
| Haiku 4.5 | $0.00002 | $0.00091 |
Grade A, and why
stitch-generate 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 yesterday.
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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stitch Generate Command
End-to-end pipeline: author Stitch prompts, generate screens via MCP, and fetch resulting images and code.
Usage
/stitch-generate "dashboard for fitness app"
/stitch-generate @design-intent/google-stitch/dashboard/prompt-v1.md
Inputs
$ARGUMENTS: Either a raw text brief or a path to an existing prompt file.
Execution
Step 1: Check MCP Availability
Verify Stitch MCP tools are available (look for generate_screen_from_text).
- If not available: Display clear message and stop:
Stitch MCP is not configured. Run /stitch-setup for guided setup. - If available: Continue to Step 2.
Step 2: Resolve Input
Determine input type from $ARGUMENTS:
- If path to existing prompt file (starts with
@or ends with.md):- Read the file directly
- Extract feature name from directory path
- If raw text brief:
- Invoke the
authoring-stitch-promptsskill to create the prompt file - Use the generated file path for subsequent steps
- Invoke the
Step 3: Parse Prompt Sections
Read the prompt file and parse sections separated by ---:
- Identify
<!-- Layout: ... -->and<!-- Component: ... -->markers - Extract each section's text content
- Build ordered list of prompts to generate
Step 4: Create or Select Project
- Derive project name from feature slug (e.g., "dashboard" -> "Dashboard Design")
- Call
list_projectsto check for existing project with matching name - If found: use existing project
- If not found: call
create_projectwith derived name
Step 5: Generate Screens
For each parsed prompt section:
- Call
generate_screen_from_textwith the section's prompt text - Use the section label (from HTML comment) as screen name
- Track generated screen IDs for fetching
- If generation fails for a section, log the error and continue with remaining sections
Step 6: Fetch Results
For each successfully generated screen:
- Call
fetch_screen_imageto get the rendered image - Save image to
design-intent/google-stitch/{feature}/exports/{screen-name}.png - Optionally: call
fetch_screen_codeto get generated code - Save code to
design-intent/google-stitch/{feature}/code/{screen-name}/
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.
- yesterday First seen · 119 lines · 16 tokens per session scan A e2daffe9ba06
stitch-generate is a command published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 911 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 2026-10-16.
Other commands, from other repositories
p3-ux-wireframes
Creates wireframes (ASCII art) for the most important screens with interaction descriptions.
p1-journeys
Develops detailed personas, user journeys, and usage scenarios based on the Discovery results. These artefacts form the user foundation for all further conception decisions.
p3-ux-a11y
Defines WCAG target, contrast requirements, keyboard navigation, screen reader requirements and testing methods.
p3-ux-darkmode
Defines the color strategy for dark mode with semantic colors and toggle mechanism.
p3-ux-navigation
Creates the navigation structure, sitemap and identifies critical flows.
p6-a11y-visual
Checks colour contrast (WCAG AA), colour-independence of information presentation, and dark mode conformance.