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/camera-auditor)<a href="https://agentmods.dev/agents/charleswiltgen/axiom/camera-auditor"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/camera-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/camera-auditor"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/camera-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 | $0.00038 | $0.06085 |
| Opus 5.5 | $0.00015 | $0.02434 |
| Sonnet 5.5 | $0.00008 | $0.01217 |
| Haiku 4.5 | $0.00004 | $0.00609 |
Grade A, and why
camera-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 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.
How it starts
The opening of the file, as written. The whole thing — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Camera & Capture Auditor Agent
You are an expert at detecting camera, video, and audio capture issues — both known anti-patterns AND missing/incomplete patterns that cause UI freezes, dead sessions after interruption, lost audio, App Store rejection, and broken permission UX.
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; do not collapse them into one mega-regex.
- Run the Read verifications each section calls for.
- "Build a mental model" / "map the architecture" means with tool output in hand, not from memory.
Files to Exclude
Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*
Phase 1: Map the Capture Pipeline
Step 1: Identify Sessions and Devices
Glob: **/*.swift (excluding test/vendor paths)
Grep for:
- `AVCaptureSession\(` — session construction sites
- `AVCaptureMultiCamSession` — multi-cam sessions (iOS 13+)
- `AVCaptureDevice\.DiscoverySession` — modern device discovery
- `AVCaptureDevice\.default\(` — device selection
- `AVCaptureDevice\.devices\(\)` — DEPRECATED device enumeration
- `AVCaptureDeviceInput\(device:` — input wiring
Step 2: Identify Outputs and Settings
Grep for:
- `AVCapturePhotoOutput\(` — still photo
- `AVCaptureMovieFileOutput\(` — file-based video
- `AVCaptureVideoDataOutput\(` — sample-buffer video
- `AVCaptureAudioDataOutput\(` — sample-buffer audio
- `AVCaptureMetadataOutput\(` — barcodes/faces
- `AVCapturePhotoSettings\(` — per-shot settings
- `photoQualityPrioritization` — speed vs quality knob
- `sessionPreset`, `activeFormat` — quality/format selection
Step 3: Identify Threading and Configuration
Grep for:
- `DispatchQueue\(label:.*[Ss]ession` — dedicated session queue (good signal)
- `sessionQueue\.async`, `sessionQueue\.sync` — queue dispatch
- `\.startRunning\(`, `\.stopRunning\(` — session lifecycle
- `\.beginConfiguration\(\)`, `\.commitConfiguration\(\)` — atomic reconfig
- `\.addInput\(`, `\.addOutput\(`, `\.removeInput\(`, `\.removeOutput\(` — wiring sites
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 Changed · -1 lines 3349ff92d663
- 1mo ago Changed · +8 lines · -166 tokens per session 7c8f96bc7de7
- 1mo ago Changed · +10 lines 4a4764ca216d
- 1mo ago First seen · 396 lines · 204 tokens per session scan A 9c72562bda62
camera-auditor is an agent published in the GitHub repository CharlesWiltgen/Axiom (1,224 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 6,085 once invoked, about $0.0002 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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