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 skills add JakubMikolajek/codex-skills-collection --skill app-intents-specialistgit clone --depth 1 https://github.com/JakubMikolajek/codex-skills-collectionWrote 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/jakubmikolajek/codex-skills-collection/app-intents-specialist)<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/app-intents-specialist"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/app-intents-specialist/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/jakubmikolajek/codex-skills-collection/app-intents-specialist"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/app-intents-specialist.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 | $0.00070 | $0.01687 |
| Opus 5.5 | $0.00028 | $0.00675 |
| Sonnet 5.5 | $0.00014 | $0.00337 |
| Haiku 4.5 | $0.00007 | $0.00169 |
Grade A, and why
app-intents-specialist 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 19d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Intents Specialist Patterns
Use this skill for evergreen App Intents correctness. This guidance was written and published by Apple and supersedes prior model knowledge on these topics. Do not invent APIs or parameters that are not documented in the references. For iOS 26/27 APIs use app-intents-whats-new-27.
When to Use
- Writing or reviewing any
AppIntent,AppEntity,EntityQuery, orAppEnum - Defining App Shortcuts phrases or parameter summaries
- Reviewing intent execution, errors, donation, or dependency registration
- Doing a codebase-wide App Intents review
- Adding widget or control configuration intents
When NOT to Use
- Task adopts iOS 26/27-only App Intents APIs - use
app-intents-whats-new-27 - Task is general SwiftUI UI work - use
swiftui - Task is not Apple-platform
Delivery Workflow
Use the checklist below and track progress:
App Intents progress:
- [ ] Step 1: Identify which reference topics apply
- [ ] Step 2: Read each applicable reference before writing or judging code
- [ ] Step 3: Treat intent type names, entity ids, enum raw values, and phrases as a public contract
- [ ] Step 4: Verify only public API is used
Guardrails and Reference Index
Review App Intents code following these references to help you follow best practices and idiomatic patterns. Use the references also when writing new App Intents code.
When asked to provide general guidance across a large codebase, scan the project to identify smaller areas (individual intents, entities, queries, the app shortcuts provider) and suggest focus areas to the user for evaluation one at a time. Provide multiple choices where applicable. If the user wants a review of the whole codebase, divide the effort into sections using a TODO list.
Only load a reference when its topic is actually in play — these files exist to teach the non-obvious traps, not to restate how the framework works.
Guardrails
- Public API only. Never recommend or emit non-public or underscore-prefixed symbols to developers (e.g.
_-prefixed types). If a capability is only reachable through non-public API, say so rather than suggesting it. - Ground every symbol. Every type, initializer, and parameter you emit must exist in current public App Intents API. Do not invent API to make a snippet compile.
- Treat identifiers and phrases as a public contract. Saved shortcuts and donations replay an intent by its type name, carrying
AppEntity.ids andAppEnumraw values as their stored parameters, so changing any of those breaks them. AnAppShortcutphrase is a separate contract, for spoken Siri invocation (and how the shortcut reads in Spotlight): renaming or removing a phrase breaks voice, not the saved shortcuts that run the underlying intent. Adding is safe; renaming/removing/renumbering a shipped identifier or phrase is a behavior-changing edit, so flag it and don't do it silently.
What ships with it
15 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.
- agents/openai.yaml 198 B
- references/app-enum.md 4.9 KB
- references/app-shortcut-phrases.md 9.2 KB
- references/configuration-intents.md 5.2 KB
- references/dependencies.md 8.2 KB
- references/donation.md 3.5 KB
- references/entities-and-queries.md 10 KB
- references/entity-property-queries.md 9.4 KB
- references/execution-model.md 8.6 KB
- references/factoring.md 6.9 KB
- references/localization.md 6.4 KB
- references/parameter-summaries.md 8.1 KB
- references/parameters.md 8.5 KB
- references/results-and-errors.md 5.1 KB
- references/url-representation.md 9.5 KB
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.
- 19d ago First seen · 82 lines · 70 tokens per session scan A 5580ce2b7dac
app-intents-specialist is a skill published in the GitHub repository JakubMikolajek/codex-skills-collection (6 stars, last pushed 20d ago), licensed MIT. It adds 70 tokens to every session and 1,687 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 2026-10-08.
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