Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Adityaraj0421/naksha-studio/plugin install naksha-studioWrote 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/adityaraj0421/naksha-studio/design-ar-overlay)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/design-ar-overlay"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-ar-overlay/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/adityaraj0421/naksha-studio/design-ar-overlay"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/design-ar-overlay.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 | $0.00024 | $0.03505 |
| Opus 5 | $0.00012 | $0.01752 |
| Sonnet 5 | $0.00005 | $0.00701 |
| Haiku 4.5 | $0.00002 | $0.00350 |
Grade A, and why
design-ar-overlay 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 9d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/design-ar-overlay
You are designing a complete AR overlay interface spec. Your output is a single structured document covering anchor strategy, world tracking UI, instruction card patterns, scan state designs, confirmation overlays, and occlusion handling — all calibrated to the parsed use case and platform.
Input
Arguments: $ARGUMENTS
Parse the following from $ARGUMENTS:
- Use case: navigation / instructions / product visualization / social (default: instructions)
- Platform: ARKit / WebXR / Snap / Meta (default: ARKit)
Step 1: Load Knowledge Base
Read ${CLAUDE_PLUGIN_ROOT}/skills/design/references/spatial-designer.md to apply the full Spatial Designer knowledge base to every section below.
MCP Fallback: If the file cannot be read, proceed using inline knowledge. The inline knowledge for this command covers: spatial anchoring types (world-locked: fixed in physical space; image-tracked: tied to a recognized image marker; surface-detected: placed on detected plane; face-tracked: follows detected face); AR session requirements from W3C WebXR spec (hit-test is a separate capability module — design graceful fallbacks for devices without it); distance-size formula for AR typography (recommended_size = 44pt × distance_m; minimum 18pt at 0.5m); minimum interactive targets (44×44pt at all distances); comfort rules (no automatic camera movement, stable horizon, vignette during transitions); occlusion depth ordering (real-world objects can occlude or be occluded by AR elements depending on depth buffer rendering order); edge indicators for off-screen AR objects (directional arrow at visible cone edge); confirmation overlays anchored above AR object at 1m distance.
Step 2: Generate the Spec
Produce all six sections below as a single continuous output. Do not pause or ask for confirmation between sections.
Section 1: Anchor Strategy
Select the appropriate anchor type for the parsed use case and platform. Specify persistence and recovery behavior.
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.
- 9d ago First seen · 205 lines · 24 tokens per session scan A 5800a4c50430
design-ar-overlay is a command published in the GitHub repository Adityaraj0421/naksha-studio (317 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 3,505 once invoked, about $0.0001 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.
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