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 DDS-Solutions/AI-TadPole-OS --skill vr-argit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/vr-ar)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/vr-ar"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/vr-ar/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/dds-solutions/ai-tadpole-os/vr-ar"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/vr-ar.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 | $0.00732 |
| Opus 5 | $0.00008 | $0.00366 |
| Sonnet 5 | $0.00003 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
vr-ar 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 8d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / game-development
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
VR/AR Development
Immersive experience principles.
1. Platform Selection
VR Platforms
| Platform | Use Case |
|---|---|
| Quest | Standalone, wireless |
| PCVR | High fidelity |
| PSVR | Console market |
| WebXR | Browser-based |
AR Platforms
| Platform | Use Case |
|---|---|
| ARKit | iOS devices |
| ARCore | Android devices |
| WebXR | Browser AR |
| HoloLens | Enterprise |
2. Comfort Principles
Motion Sickness Prevention
| Cause | Solution |
|---|---|
| Locomotion | Teleport, snap turn |
| Low FPS | Maintain 90 FPS |
| Camera shake | Avoid or minimize |
| Rapid acceleration | Gradual movement |
Comfort Settings
- Vignette during movement
- Snap vs smooth turning
- Seated vs standing modes
- Height calibration
3. Performance Requirements
Target Metrics
| Platform | FPS | Resolution |
|---|---|---|
| Quest 2 | 72-90 | 1832x1920 |
| Quest 3 | 90-120 | 2064x2208 |
| PCVR | 90 | 2160x2160+ |
| PSVR2 | 90-120 | 2000x2040 |
Frame Budget
- VR requires consistent frame times
- Single dropped frame = visible judder
- 90 FPS = 11.11ms budget
4. Interaction Principles
Controller Interaction
| Type | Use |
|---|---|
| Point + click | UI, distant objects |
| Grab | Manipulation |
| Gesture | Magic, special actions |
| Physical | Throwing, swinging |
Hand Tracking
- More immersive but less precise
- Good for: social, casual
- Challenging for: action, precision
5. Spatial Design
World Scale
- 1 unit = 1 meter (critical)
- Objects must feel right size
- Test with real measurements
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.
- 8d ago First seen · 131 lines · 16 tokens per session scan A 713db2f911d4
vr-ar is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 732 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 2026-09-03.
Other skills, from other repositories
airjam-mcp
Use when operating an Air Jam project through its first-party MCP tools for inspection, development, semantic game sessions, logs, quality gates, and releases.
controller-ui
Use when building or reviewing Air Jam controller surfaces so touch controls stay simple, readable, and game-appropriate instead of drifting into dense web-app UI patterns.
host-surface
Use when building or reviewing the Air Jam host shell so the active game surface stays full-frame, overlays stay modular, and host UI does not interfere with gameplay layout.
canvas-2d-gameplay
Use when building or reviewing a 2D Air Jam game with canvas so simulation, rendering, SVG/sprite assets, scaling, and collision stay clean instead of collapsing into DOM-heavy ad hoc logic.
game-architecture
Use when creating or refactoring gameplay code in an Air Jam project and you need guidance on host vs controller vs domain boundaries, modular structure, and when to refactor before implementing.
prefab-authoring
Use when creating reusable gameplay objects or scene presets so prefabs stay declarative, configurable, and ready for future tooling such as previews and scanned catalogs.