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/sonicfieldlabs/akouoWrote 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/commands/sonicfieldlabs/akouo/audiovision)<a href="https://agentmods.dev/commands/sonicfieldlabs/akouo/audiovision"><img src="https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/audiovision.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00659 |
| Opus 5 | $0.00000 | $0.00329 |
| Sonnet 5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
audiovision 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 7d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/audiovision
Purpose
/audiovision is the sound-image-scene command. It analyzes how sound, image, text, interface, timing, captioning, synchronization, and audiovisual phrasing co-produce a scene.
When To Use
Use /audiovision for:
- video, film, trailers, games, animation, and installation
- subtitles, captions, UI sound, notification sound, or screen-based sonic events
- synchronization, offscreen sound, diegesis, added value, sound-image causality, or audiovisual phrasing
- critiques of sound-versus-vision claims
- agentic workflows that route between audio, image, caption, and interface evidence
Skills Called
akouo-routeras an implicit planning pass that supplies the evidence inventory, risks, and forbidden assumptions the synthesis must respectaudiovisual-scenic-listeningacoulogical-object-listeningvoice-speech-listeningwhen speech, subtitles, captions, or dialogue mattercritical-political-listeningwhen audiovisual claims risk mystification, exclusion, surveillance, identity overreach, or cultural flattening
Execution Order
- Run
audiovisual-scenic-listeningto map sound-image-text-scene relations and synchronization limits. - Run
acoulogical-object-listeningto reground the sound object before assigning visual source or meaning. - Run
voice-speech-listeningwhen speech, captions, subtitles, dialogue, ASR, or dubbing are present. - Run
critical-political-listeningwhen the report needs to audit sound-versus-vision binaries, access, platform, identity, or institutional stakes. - Synthesize without treating synchronization as proof of real-world causality.
Expected Output
Use schemas/command-output.schema.json.
The output must include:
- sound-image-text relations
- evidence available for audio, image, caption, and interface claims
- synchronization and source-causality limits
- scene-level interpretation
- access and caption cautions when relevant
- recommended next mode
Guardrails
- Sound and image are co-produced through apparatus, editing, interface, platform, and playback.
- Do not idealize sound as automatically more embodied, authentic, immersive, or present than image.
- Do not invent visual content from audio-only input.
- Do not invent sonic content from visual-only input.
- Captions and subtitles are scene evidence, access paths, and mediations, not transparent replacements for sound.
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.
- 7d ago First seen · 65 lines · 0 tokens per session scan A 862004dd57d8
audiovision is a command published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 659 tokens. 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 2026-08-31.
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