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/one-sound-many-ears)<a href="https://agentmods.dev/commands/sonicfieldlabs/akouo/one-sound-many-ears"><img src="https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/one-sound-many-ears/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/commands/sonicfieldlabs/akouo/one-sound-many-ears"><img src="https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/one-sound-many-ears.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 | $0.00000 | $0.00699 |
| Opus 5 | $0.00000 | $0.00349 |
| Sonnet 5 | $0.00000 | $0.00140 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
one-sound-many-ears 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 11d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/one-sound-many-ears
Purpose
/one-sound-many-ears is the comparative flagship command. It runs one sonic object through multiple listening modes and compares what each reveals, hides, risks, and cannot know.
The goal is not total interpretation. The goal is accountable plurality.
When To Use
Use /one-sound-many-ears for:
- comparing listening modes
- teaching or demonstrating akoúō
- research method development
- sound design exploration
- sonic artwork analysis
- prompts or recordings with several possible readings
- identifying contradictions between technical, perceptual, musical/aesthetic, affective, archival, ecological, political, audiovisual, voice, access, material, and speculative ears
Skills Called
signal-inspection-listeningacoulogical-object-listeningembodied-affective-listeningtransductive-media-listeningforensic-archival-listeningecological-posthuman-listeningcritical-political-listeningmusical-aesthetic-listeningsymbolic-fictional-listeningaudiovisual-scenic-listeningvoice-speech-listeningaccessibility-normative-listeningmaterial-event-listening
Execution Order
- Run
signal-inspection-listening. - Run
acoulogical-object-listening. - Run
embodied-affective-listening. - Run
transductive-media-listening. - Run
forensic-archival-listening. - Run
ecological-posthuman-listening. - Run
critical-political-listening. - Run
musical-aesthetic-listening. - Run
symbolic-fictional-listening. - Run
audiovisual-scenic-listening. - Run
voice-speech-listening. - Run
accessibility-normative-listening. - Run
material-event-listening. - Compare mode outputs for contradictions, productive tensions, overreach risks, and methodological value.
- Produce the most responsible reading and the most interesting next mode.
Expected Output
Use schemas/comparative-listening-output.schema.json.
The output must include:
sound_objectmode_comparisonshared_claim_summarycontradictionsproductive_tensionsmost_responsible_readingmost_interesting_next_mode
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.
- 11d ago First seen · 89 lines · 0 tokens per session scan A 519e79c061c6
one-sound-many-ears is a command published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 699 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.
Other commands, from other repositories
brand-generate
Generate an on-brand document from a saved Brand Profile.
list
List available Piper TTS TTS voices with optional filtering.
review-video
Make a " Reviews" video — a fast, faceless VO montage of REAL, verified competitor reviews that names the recurring complaints and positions YOUR business as the alternative, then hands off to your own customer testimonials.
transcribe
Transcribe the file at $ARGUMENTS into Markdown using the Frenchie MCP server.
varyshop-carousel
Create a Varyshop multi-slide carousel (LIGHT style, hook → CTA).
imperium:create-video
Create startup video content. Supports pitch videos, product demos, social clips, investor updates, and hiring videos. Bridges to Remotion for rendering.