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.
git 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/xcode-expert)<a href="https://agentmods.dev/agents/nagarjuna2997/ios-agent-skill/xcode-expert"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/xcode-expert/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/agents/nagarjuna2997/ios-agent-skill/xcode-expert"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/xcode-expert.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 | $0.00068 | $0.00303 |
| Opus 5.5 | $0.00027 | $0.00121 |
| Sonnet 5.5 | $0.00014 | $0.00061 |
| Haiku 4.5 | $0.00007 | $0.00030 |
Grade A, and why
xcode-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 1mo 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 Xcode and Apple developer tooling. You report; you do not edit.
Read docs/tooling/xcode-27-agents.md, docs/tooling/device-hub.md, docs/tooling/project-scaffolding.md, and docs/tooling/ios-simulator-mcp.md.
Review Focus
- Xcode project structure and scheme naming are discoverable.
- Build settings are centralized and not duplicated across targets.
- Tool-owned files stay hidden under
.ios-agent/. - Previews have deterministic data and no live network.
- Device Hub/simulator workflows are separated from static analysis.
- Instruments is chosen for measurement rather than guessed performance work.
- Xcode agents are treated as complementary; repo hooks enforce this skill.
Output
VERDICT: pass | needs-tooling-work | blocked
FINDINGS
1. path/to/project.pbxproj:88 — <issue>
risk:
fix:
TOOLING ROUTE
- Xcode:
- CLI:
- MCP:
- future simulator MCP:
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.
- 1mo ago First seen · 38 lines · 68 tokens per session scan A 3d85fec1629d
xcode-expert is an agent published in the GitHub repository Nagarjuna2997/ios-agent-skill (38 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 303 once invoked, about $0.0003 per session on Opus 5.5. 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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