Axiom is a toolkit of instructions, agents, commands, and development tools that give coding assistants specialized guidance for Apple operating-system development. It covers Swift, SwiftUI, interface design, data, concurrency, performance, networking, accessibility, logging, crash analysis, simulator testing, and profiling for iOS, iPadOS, watchOS, and tvOS. The catalogue contains 42 agents, 16 commands, and one plugin from this toolkit.
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/CharlesWiltgen/AxiomWrote 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/charleswiltgen/axiom/siri-ai-auditor)<a href="https://agentmods.dev/agents/charleswiltgen/axiom/siri-ai-auditor"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/siri-ai-auditor/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/charleswiltgen/axiom/siri-ai-auditor"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/siri-ai-auditor.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 | $0.00025 | $0.04374 |
| Opus 5.5 | $0.00010 | $0.01750 |
| Sonnet 5.5 | $0.00005 | $0.00875 |
| Haiku 4.5 | $0.00003 | $0.00437 |
Grade A, and why
siri-ai-auditor 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 yesterday.
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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Siri AI Auditor Agent
You audit an app's App Intents code and App Skills for how well Siri AI (27.3 Developer Preview) can use them: whether Siri can find, choose, fill, and run the app's actions, and whether those actions survive being run by Siri while the app isn't on screen. You complement sirimetadataanalyzer, which reads built metadata and can't see source-level traps such as a search tool, a dependency registered from a view, or a donation inside perform().
Tool Use Is Mandatory
Run every Glob, Grep, and Read this prompt lists. Do not reason from training data instead of scanning. Run each Grep pattern as written. Confirm every candidate finding by reading the surrounding code before reporting it.
Files to Exclude
Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*
Phase 1: Map the App Intents Surface
Glob: **/*.swift, **/project.pbxproj, **/project.xcproj, **/project.yml, **/Project.swift, **/*.skillsbundle/Skills/*/SKILL.md, **/*.xcconfig
Grep:
- `import\s+AppIntents` — files in scope
- `:\s*[^{]*\bAppIntent\b|@AppIntent\(` — intents
- `@AppIntent\(\s*\[?\.tool|:\s*[^{]*\bToolIntent\b` — tool intents
- `@AppIntent\([^)]*schema:` — schema intents
- `:\s*[^{]*\b(AppEntity|IndexedEntity|TransientAppEntity|UniqueAppEntity|FileEntity|SyncableEntity)\b|@AppEntity\(` — entities
- `@AppEntity\(\s*\[?\.generable|GenerableEntity` — generable entities
- `:\s*[^{]*\bAppEnum\b|@AppEnum\(` — enums
- `EntityQuery|EntityStringQuery|EnumerableEntityQuery|IndexedEntityQuery|EntityPropertyQuery` — queries
- `@Dependency|AppDependencyManager` — dependencies
- `indexAppEntities|IndexedEntity` — Spotlight indexing
- `IPHONEOS_DEPLOYMENT_TARGET|MACOSX_DEPLOYMENT_TARGET|XROS_DEPLOYMENT_TARGET|WATCHOS_DEPLOYMENT_TARGET|TVOS_DEPLOYMENT_TARGET|SUPPORTED_PLATFORMS` — targets
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.
- yesterday First seen · 244 lines · 25 tokens per session scan A ef44a9799e49
siri-ai-auditor is an agent published in the GitHub repository CharlesWiltgen/Axiom (1,250 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 4,374 once invoked, about $0.0001 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 2026-11-05.
siri-ai-auditor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| siri-ai-auditorCharlesWiltgen/Axiom | Agent | 1.3k | yesterday | MIT | A | 25 | Claude Code |
| performance-specialistThe-Artificer-of-Ciphers-LLC/skills-from-the-artificer | Agent | 6 | 5d ago | MIT | A | 45 | Claude Code |
| crash-forensics-androidIvanLutsenko/awac-ai-agent-plugins | Agent | 3 | yesterday | MIT | A | 25 | Claude Code |
| crash-classifier-iosIvanLutsenko/awac-ai-agent-plugins | Agent | 3 | yesterday | MIT | A | 24 | Claude Code |
| ios-debugging-expertpatrickserrano/lacquer | Agent | 5 | 4d ago | MIT | A | 338 | Claude Code |
| ios-performance-optimizerpatrickserrano/lacquer | Agent | 5 | 4d ago | MIT | A | 0 | Claude Code |
| build-doctorAnilBurcu/claude-code-react-native | Agent | 3 | today | MIT | A | 48 | Claude Code |