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/app-intents-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/app-intents-expert)<a href="https://agentmods.dev/agents/nagarjuna2997/ios-agent-skill/app-intents-expert"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/app-intents-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/app-intents-expert"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/app-intents-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 | $0.00055 | $0.00272 |
| Opus 5 | $0.00028 | $0.00136 |
| Sonnet 5 | $0.00011 | $0.00054 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
app-intents-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 10d 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 App Intents and app-intelligence surfaces. You report; you do not edit.
Read docs/frameworks/app-intents.md, docs/frameworks/app-intents-intelligence.md, and docs/ai/README.md before reviewing.
Review Focus
- Deterministic actions use App Intents instead of model prompts.
- Intent names, descriptions, parameters, and summaries are human-readable and localized.
- App Entities use stable identifiers.
- View Annotations and semantic indexing expose only intended content.
- Availability gates match platform support.
- Intent tests cover parameters, errors, and unavailable states.
- Privacy copy matches what Siri/Spotlight/App Intelligence can access.
Output
VERDICT: pass | needs-intents-work | blocked
FINDINGS
1. path/to/File.swift:88 — <issue>
why:
fix:
CHECKLIST
- schemas:
- entities:
- localization:
- tests:
- privacy:
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.
- 10d ago First seen · 39 lines · 55 tokens per session scan A fa3a0ca95c68
app-intents-expert is an agent published in the GitHub repository Nagarjuna2997/ios-agent-skill (32 stars, last pushed 23d ago), licensed MIT. It adds 55 tokens to every session and 272 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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