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 agentmods add skills/diillson/chatcli/vr-arnpx skills add diillson/chatcli --skill vr-argit clone --depth 1 https://github.com/diillson/chatcliWhat 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 | $0.00016 | $0.00627 |
| Opus 5 | $0.00008 | $0.00313 |
| Sonnet 5 | $0.00003 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00063 |
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 2d 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.
This is a copy
100% identical to vr-ar — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
Depth Cues
| Cue | Importance |
|---|---|
| Stereo | Primary depth |
| Motion parallax | Secondary |
| Shadows | Grounding |
| Occlusion | Layering |
6. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Move camera without player | Player controls camera |
| Drop below 90 FPS | Maintain frame rate |
| Use tiny UI text | Large, readable text |
| Ignore arm length | Scale to player reach |
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.
- 2d ago First seen · 124 lines · 16 tokens per session scan A 59ddbdecc4fa
vr-ar is a skill published in the GitHub repository diillson/chatcli (89 stars, last pushed 3d ago), licensed Apache-2.0. It adds 16 tokens to every session and 627 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vr-ar, differing in 0 lines, and is treated as a copy.
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simplemem-skill
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