Borrowing it
Nothing to install: this file belongs to omarshahine/HomeClaw. 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/omarshahine/HomeClaw/main/.claude/skills/ios-app-intents/SKILL.mdgit clone --depth 1 https://github.com/omarshahine/HomeClawWrote 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/omarshahine/homeclaw/ios-app-intents)<a href="https://agentmods.dev/skills/omarshahine/homeclaw/ios-app-intents"><img src="https://agentmods.dev/badge/skills/omarshahine/homeclaw/ios-app-intents/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/omarshahine/homeclaw/ios-app-intents"><img src="https://agentmods.dev/badge/skills/omarshahine/homeclaw/ios-app-intents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00087 | $0.01029 |
| Opus 5 | $0.00044 | $0.00515 |
| Sonnet 5 | $0.00017 | $0.00206 |
| Haiku 4.5 | $0.00009 | $0.00103 |
Grade A, and why
ios-app-intents 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 11d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- ios-app-intents — 100% identical, 0 lines differ
- ios-app-intents — 91% identical, 2 lines differ
- ios-app-intents — 91% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS App Intents
Overview
Expose the smallest useful action and entity surface to the system. Start with the verbs and objects people would actually want outside the app, then implement a narrow App Intents layer that can deep-link or hand off cleanly into the main app when needed.
Read these references as needed:
references/first-pass-checklist.mdfor choosing the first intent and entity surfacereferences/example-patterns.mdfor concrete example shapes to copy and adaptreferences/code-templates.mdfor generalized App Intents code templatesreferences/system-surfaces.mdfor how to think about Shortcuts, Siri, Spotlight, widgets, and other system entry points
Core workflow
1) Start with actions, not screens
- Identify the 1-3 highest-value actions that should work outside the app UI.
- Prefer verbs like compose, open, find, filter, continue, inspect, or start.
- Do not mirror the entire app navigation tree as intents.
2) Define a small entity surface
- Add
AppEntitytypes only for the objects the system needs to understand or route. - Keep the entity shape narrower than the app's persistence model.
- Add
EntityQueryor other query types only where disambiguation or suggestions are genuinely useful.
3) Decide whether the action completes in place or opens the app
- Use non-opening intents for actions that can complete directly from the system surface.
- Use
openAppWhenRunor open-style intents when the user should land in a specific in-app workflow. - When the app must react inside the main scene, add one clear runtime handoff path instead of scattering ad hoc routing logic.
- If the action can work in both modes, consider shipping both an inline version and an open-app version rather than forcing one compromise.
4) Make the actions discoverable
- Add
AppShortcutsProviderentries for the first set of high-value intents. - Choose titles, phrases, and symbols that make sense in Shortcuts, Siri, and Spotlight.
- Keep shortcut phrases direct and task-oriented.
- Reuse the same action model for widgets and controls when a widget configuration or intent-driven control already needs the same parameters.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 78 lines · 87 tokens per session scan A ee3ea635ba78
ios-app-intents is a skill published in the GitHub repository omarshahine/HomeClaw (167 stars, last pushed 4d ago), licensed MIT. It adds 87 tokens to every session and 1,029 once invoked, about $0.0004 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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