nightmarquee-wren

nightmarquee-wren is a skill for Claude Code from ant-dev-lab/nightmarquee-mcp. It costs 128 tokens per session (475 once invoked), scanned A, original, MIT.

A ready-made prompt for building a companion app for a home robot, with a live camera view, voice task entry, a touch-controlled floor plan, and teach-by-demonstration features. It includes a live demo and instructions for retrieving the current prompt and footage.

In plain words
What is it for?
Use it to create a mobile-style robotics interface, demonstrate robot tasks, and present the app in a scrollable visual tour.
Why use it?
It supplies a concrete app concept and visual flow for a robot interface instead of requiring the interaction design from scratch.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the nightmarquee plugin — 9 skills, 1 MCP server shipped together

Good fit Use it to create a mobile-style robotics interface, demonstrate robot tasks, and present the app in a scrollable visual tour.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren
Install

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.

Any agent
npx skills add ant-dev-lab/nightmarquee-mcp --skill nightmarquee-wren
Clone the repo
git clone --depth 1 https://github.com/ant-dev-lab/nightmarquee-mcp

Made for: Claude Code.

Or install nightmarquee, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

Wrote 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.

agentmods badge for nightmarquee-wren

README.md
[![agentmods](https://agentmods.dev/badge/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren/github.svg)](https://agentmods.dev/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren)
Your own site
<a href="https://agentmods.dev/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren"><img src="https://agentmods.dev/badge/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren/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.

agentmods 80×15 button for nightmarquee-wren

Your own site · 80×15
<a href="https://agentmods.dev/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren"><img src="https://agentmods.dev/badge/skills/ant-dev-lab/nightmarquee-mcp/nightmarquee-wren.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 475 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.00475
Opus 5.5 $0.00051 $0.00190
Sonnet 5.5 $0.00026 $0.00095
Haiku 4.5 $0.00013 $0.00047

Measured 16d ago against content hash 5f4628dbdf26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nightmarquee-wren scanned grade A with 1 finding 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 16d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Without it: `curl -s "https://nightmarquee.com/api/mcp/prompt/wren?tool=claude"` and use the `text` field.
skills/nightmarquee-wren/SKILL.md · 24 lines

What it actually says

Wren

The companion app for a robot that lives with you. Live demo: https://nightmarquee.com/demo/wren

A home-robot app that feels like hardware: a live camera card that tags what the robot sees, a voice orb that turns a sentence into a queued task, a CSS-3D floor plan you spin with a finger while the robot re-plans around a toy, and teach-by-demonstration with a projected 3D skeleton. Ships inside a scroll tour where the phone swings between chapters over the footage.

Get the prompt

The prompt is kept current on nightmarquee.com, so fetch it rather than writing the page from this summary.

  • With the NightMarquee MCP server: nightmarquee_get_prompt(slug: "wren", tool: "claude"). Pass the tool for the editor you are in (lovable, bolt, cursor, claude or codex) and brand for the person's own name.
  • Without it: curl -s "https://nightmarquee.com/api/mcp/prompt/wren?tool=claude" and use the text field.

Footage

The demo's clips come with the prompt for anyone signed in to a free NightMarquee account, through the MCP server (nightmarquee_sign_in, then nightmarquee_get_footage(slug: "wren")). Download each clip into public/ under its name before building. Without them, follow the prompt's own footage steps.

Build the page, then compare it with the demo. Prompt licence: https://nightmarquee.com/license

Changes

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.

  1. 16d ago First seen · 24 lines · 128 tokens per session scan A 5f4628dbdf26

Subscribe to this mod's changes

nightmarquee-wren is a skill published in the GitHub repository ant-dev-lab/nightmarquee-mcp (1 stars, last pushed 17d ago), licensed MIT. It adds 128 tokens to every session and 475 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-11.

Related

Other skills, from other repositories

accessibility

Use when working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).

evanca/flutter-ai-rules · 52 tokens

inclusive-design

Use when working on inclusion, i18n/localization, global name/address forms, low-end devices, slow/metered networks, affordability, or first-time/low-confidence users; not WCAG/screen readers (see accessibility).

evanca/flutter-ai-rules · 50 tokens

excalidraw-architect

Choose and compose the right Excalidraw diagram - architecture, flowchart, sequence, state, ER, swimlane, process, timeline, quadrant, pyramid, venn, loop, gantt, bar, line, scatter, and more - using the excalidraw-architect-mcp server. Use whenever a reader would learn more from a picture than from prose, or when…

BV-Venky/excalidraw-architect-mcp · 101 tokens

metago-thought-14-ambient-intelligence

A framework for assessing intelligence built into physical environments, such as smart spaces and embedded systems. It focuses on whether sensing and computing blend naturally into the surroundings and adapt to users.

metago-ai/metagolifeform · 55 tokens

metago-thought-16-spatial-agent

A framework for designing and evaluating interfaces that use physical space as part of the interaction, such as sensors, projection, augmented reality, voice, or gestures. It treats the environment itself as an interface rather than limiting interaction to a screen.

metago-ai/metagolifeform · 51 tokens

pn-render-verify

Re-read a rendered or visual artifact and produce a structured verdict against the spec. Use before pn-skeptic-challenge in design workflows when the deliverable is a render, image, screenshot, or HTML page.

perniemann/pnCore · 48 tokens