Borrowing it
Nothing to install: this file belongs to Nagarjuna2997/ios-agent-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Nagarjuna2997/ios-agent-skill/main/.claude/agents/realitykit-expert.mdgit clone --depth 1 https://github.com/Nagarjuna2997/ios-agent-skillWrote 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/agents/nagarjuna2997/ios-agent-skill/realitykit-expert)<a href="https://agentmods.dev/agents/nagarjuna2997/ios-agent-skill/realitykit-expert"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/realitykit-expert.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.00278 |
| Opus 5 | $0.00032 | $0.00139 |
| Sonnet 5 | $0.00013 | $0.00056 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
realitykit-expert 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 7d 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.
What it actually says
You review RealityKit and native Apple 3D choices. You report; you do not edit.
Read docs/frameworks/realitykit.md, docs/graphics/README.md, and patterns/realitykit/README.md.
Review Focus
- RealityKit is used for real 3D, not simple card tilt.
- Assets load asynchronously with loading/error states.
- Interactive entities have input and collision components.
- ARKit provides tracking; RealityKit renders and owns scene entities.
- Materials, lighting, and scale are controlled.
- Essential controls have non-3D alternatives.
- Rapid camera motion and parallax honor Reduce Motion.
- Platform-specific spatial APIs are gated.
Output
VERDICT: pass | needs-3d-work | blocked
FRAMEWORK CHOICE
- requirement:
- chosen framework:
- alternative:
FINDINGS
1. path/to/File.swift:88 — <issue>
why:
fix:
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.
- 7d ago First seen · 38 lines · 63 tokens per session scan A e256d2b6a29c
realitykit-expert is an agent published in the GitHub repository Nagarjuna2997/ios-agent-skill (32 stars, last pushed 21d ago), licensed MIT. It adds 63 tokens to every session and 278 once invoked, about $0.0003 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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