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 sonicfieldlabs/akouo --skill akouo-routergit 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/skills/sonicfieldlabs/akouo/akouo-router)<a href="https://agentmods.dev/skills/sonicfieldlabs/akouo/akouo-router"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/akouo-router/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/sonicfieldlabs/akouo/akouo-router"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/akouo-router.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 | $0.00181 | $0.05888 |
| Opus 5 | $0.00090 | $0.02944 |
| Sonnet 5 | $0.00036 | $0.01178 |
| Haiku 4.5 | $0.00018 | $0.00589 |
Grade A, and why
akouo-router 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 — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
akouo-router
Purpose
akouo-router is the meta-ear of akoúō. It does not analyze the sound directly. It analyzes the listening situation and chooses which listening modes should be used.
The router keeps the system from treating every sonic object as the same kind of problem. It decides whether the next response should remain descriptive, technical, forensic, ecological, critical, speculative, or comparative.
The router also checks conceptual confusion: signal versus meaning, music versus genre label, voice versus transcript, speech versus identity, caption versus sound, audiovisual synchronization versus causality, access versus normal-hearing assumption, material vibration versus measured evidence, soundscape versus acoustemology versus aurality, machine listening versus voice agent, archive versus evidence, affect versus emotion, and speculation versus proof.
When To Use
Use this skill whenever an agent is asked to:
- listen to a sound, audio file, recording, prompt, transcript, field note, spectrogram, archive fragment, dataset, or sonic concept
- analyze or interpret audio without a clearly specified mode
- choose between technical, perceptual, musical/aesthetic, affective, voice/speech, audiovisual/scenic, accessibility, material/event, archival, ecological, political, or fictional listening
- prevent overreach in a sensitive or uncertain listening situation
- recommend a listening chain for another command or agentic workflow
Core Question
What kind of listening does this situation require?
Routing Refinements
- Route by evidence first: audio file, metadata, waveform, spectrogram, transcript, prompt, field note, archive note, model output, or mixed input do not support the same claims.
- Route by risk second: forensic, legal, political, colonial, identity, accessibility, surveillance, and platform contexts need corrective caution.
- Route by conceptual frame third: technical measurement, perceptual morphology, musical/aesthetic organization, bodily affect, voice/speech, audiovisual scene, accessibility and hearing norm, material event, transduction, testimony, ecological relation, political mediation, memory and lineage, or declared fiction.
- Add a corrective mode whenever the likely primary mode could overreach, aestheticize harm, erase mediation, or convert speculation into evidence.
- Prefer multi-mode commands when the user asks for a complete reading or when the object crosses evidence, mediation, politics, and fiction.
- For autonomous workflows, return enough evidence limits, forbidden assumptions, and mode-chain logic that another app or agent can execute the route without inventing missing evidence.
- Correct for vococentrism: the presence of speech pulls routing toward voice modes by default, but a task about ambience, music, habitat, or material behavior keeps its own primary even when someone is speaking in the recording.
- Never let one frame capture the whole route: keep at least one alternative reading alive (
route_reasoningfor router output,alternative_readingin mode outputs), especially when confidence is high.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/claim-taxonomy.schema.json 5.3 KB
- references/ensemble.schema.json 1.8 KB
- references/listening-context.schema.json 7.7 KB
- references/listening-output.schema.json 11 KB
- references/listening-pass.schema.json 2.4 KB
- references/listening-provenance.schema.json 3.9 KB
- references/route-decision.schema.json 1.8 KB
- references/router-output.schema.json 2.2 KB
- references/routing-plan.schema.json 3.7 KB
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 · 334 lines · 181 tokens per session scan A e60608cec5ad
akouo-router is a skill published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 1mo ago), licensed MIT. It adds 181 tokens to every session and 5,888 once invoked, about $0.0009 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 2026-08-31.
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