field

field is a command for coding agents from sonicfieldlabs/akouo. It costs 0 tokens per session (663 once invoked), scanned A, original, MIT.

A command for analysing field recordings and listening-based research. It covers environmental sound, places, habitats, infrastructure, recording equipment, and ethical questions about fieldwork.

In plain words
What is it for?
Use it for soundwalks, environmental recordings, site notes, ecological research, and questions about microphones, listening methods, or more-than-human environments.
Why use it?
It helps organise observations from real-world recordings without treating every sound as the same kind of evidence.

Command

Install

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.

agentmods
npx agentmods add commands/sonicfieldlabs/akouo/field
Clone the repo
git clone --depth 1 https://github.com/sonicfieldlabs/akouo

Wrote 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.

agentmods badge for field

README.md
[![agentmods](https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/field.svg)](https://agentmods.dev/commands/sonicfieldlabs/akouo/field)
Your own site
<a href="https://agentmods.dev/commands/sonicfieldlabs/akouo/field"><img src="https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/field.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00663
Opus 5 $0.00000 $0.00331
Sonnet 5 $0.00000 $0.00133
Haiku 4.5 $0.00000 $0.00066

Measured 5d ago against content hash 6ed1f51efb07, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

field 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 5d 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.

commands/field.md · 65 lines

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.

/field

Purpose

/field is the field recording and situated listening command. It distinguishes soundscape, acoustemology, aurality, sensor mediation, fieldwork ethics, place, habitat, infrastructure, and material event.

When To Use

Use /field for:

  • field recordings, soundwalks, environmental recordings, and site notes
  • forests, rivers, oceans, weather, animals, insects, birds, urban habitats, infrastructures, and atmospheres
  • hydrophones, contact microphones, geophones, ambisonics, and remote listening
  • soundscape, acoustemology, aurality, listening-with, and fieldwork method questions
  • ecological or more-than-human agent workflows

Skills Called

  • akouo-router as an implicit planning pass that supplies the evidence inventory, risks, and forbidden assumptions the synthesis must respect
  • ecological-posthuman-listening
  • transductive-media-listening
  • critical-political-listening
  • material-event-listening when vibration, resonance, duration, feedback, infrastructure, or material process matters

Execution Order

  1. Run ecological-posthuman-listening to map human, nonhuman, environmental, weather, habitat, and infrastructural layers.
  2. Run transductive-media-listening to map microphone, sensor, recorder, codec, platform, and elsewhere-listening mediation.
  3. Run critical-political-listening to audit fieldwork ethics, extraction, access, territory, labor, coloniality, and infrastructural stakes.
  4. Run material-event-listening when the sound is shaped by vibration, resonance, surfaces, propagation, duration, or low-frequency force.
  5. Synthesize without romanticizing place as pure nature or treating field recording as direct access.

Expected Output

Use schemas/command-output.schema.json.

The output must include:

  • ecological layers and unavailable ecological facts
  • fieldwork and capture mediation
  • soundscape, acoustemology, or aurality distinctions when relevant
  • site, season, species, and recorder-position unknowns
  • political and access cautions
  • recommended next mode

Read the full file on GitHub · 65 lines

Changes

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.

  1. 5d ago First seen · 65 lines · 0 tokens per session scan A 6ed1f51efb07

Subscribe to this mod's changes

field is a command published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 24d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 663 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.