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 ComeOnOliver/skillshub --skill axiom-avfoundation-refgit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-avfoundation-ref)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-avfoundation-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-avfoundation-ref/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/comeonoliver/skillshub/axiom-avfoundation-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-avfoundation-ref.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 | $0.00050 | $0.03909 |
| Opus 5 | $0.00025 | $0.01954 |
| Sonnet 5 | $0.00010 | $0.00782 |
| Haiku 4.5 | $0.00005 | $0.00391 |
Grade A, and why
axiom-avfoundation-ref 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 9d 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 — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AVFoundation Audio Reference
Quick Reference
// AUDIO SESSION SETUP
import AVFoundation
try AVAudioSession.sharedInstance().setCategory(
.playback, // or .playAndRecord, .ambient
mode: .default, // or .voiceChat, .measurement
options: [.mixWithOthers, .allowBluetooth]
)
try AVAudioSession.sharedInstance().setActive(true)
// AUDIO ENGINE PIPELINE
let engine = AVAudioEngine()
let player = AVAudioPlayerNode()
engine.attach(player)
engine.connect(player, to: engine.mainMixerNode, format: nil)
try engine.start()
player.scheduleFile(audioFile, at: nil)
player.play()
// INPUT PICKER (iOS 26+)
import AVKit
let picker = AVInputPickerInteraction()
picker.delegate = self
myButton.addInteraction(picker)
// In button action: picker.present()
// AIRPODS HIGH QUALITY (iOS 26+)
try AVAudioSession.sharedInstance().setCategory(
.playAndRecord,
options: [.bluetoothHighQualityRecording, .allowBluetoothA2DP]
)
AVAudioSession
Categories
| Category | Use Case | Silent Switch | Background |
|---|---|---|---|
.ambient |
Game sounds, not primary | Silences | No |
.soloAmbient |
Default, interrupts others | Silences | No |
.playback |
Music player, podcast | Ignores | Yes |
.record |
Voice recorder | — | Yes |
.playAndRecord |
VoIP, voice chat | Ignores | Yes |
.multiRoute |
DJ apps, multiple outputs | Ignores | Yes |
Modes
| Mode | Use Case |
|---|---|
.default |
General audio |
.voiceChat |
VoIP, reduces echo |
.videoChat |
FaceTime-style |
.gameChat |
Voice chat in games |
.videoRecording |
Camera recording |
.measurement |
Flat response, no processing |
.moviePlayback |
Video playback |
.spokenAudio |
Podcasts, audiobooks |
Options
// Mixing
.mixWithOthers // Play with other apps
.duckOthers // Lower other audio while playing
.interruptSpokenAudioAndMixWithOthers // Pause podcasts, mix music
// Bluetooth
.allowBluetooth // HFP (calls)
.allowBluetoothA2DP // High quality stereo
.bluetoothHighQualityRecording // iOS 26+ AirPods recording
// Routing
.defaultToSpeaker // Route to speaker (not receiver)
.allowAirPlay // Enable AirPlay
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.
- 9d ago First seen · 645 lines · 50 tokens per session scan A 7afc5a399f6e
axiom-avfoundation-ref is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 3,909 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 2026-09-03.
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