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/transduce)<a href="https://agentmods.dev/commands/sonicfieldlabs/akouo/transduce"><img src="https://agentmods.dev/badge/commands/sonicfieldlabs/akouo/transduce.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 | $0.00683 |
| Opus 5 | $0.00000 | $0.00342 |
| Sonnet 5 | $0.00000 | $0.00137 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
transduce 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 6d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/transduce
Purpose
/transduce is the mediation and conversion command. It listens to how sound is produced through microphones, sensors, codecs, models, interfaces, datasets, platforms, archives, or sonification mappings.
When To Use
Use /transduce for:
- sensors and sonification
- biosignals
- hydrophones and contact microphones
- field recording apparatus
- AI audio generation
- synthetic voice and voice cloning
- speech-to-text outputs
- voice agents and model-mediated listening workflows
- datasets
- sample packs
- compression and platform artifacts
- modular systems and interface design
- degraded or restored media
Skills Called
akouo-routeras an implicit planning pass that supplies the evidence inventory, risks, and forbidden assumptions the synthesis must respecttransductive-media-listeningsignal-inspection-listeningcritical-political-listeningwhen mediation has institutional, colonial, platform, labor, surveillance, access, or market stakesvoice-speech-listeningwhen the transduction chain centers voice, ASR, TTS, cloning, diarization, or voice agentsaccessibility-normative-listeningwhen mediation changes access, captions, transcript quality, intelligibility, or alternate sensory paths
Execution Order
- Run
transductive-media-listeningto map source domain, target domain, capture, encoding, mapping, model, interface, or platform. - Run
signal-inspection-listeningto ground artifacts, metadata, compression, noise, and measurable traits when available. - Run
voice-speech-listeningwhen the mediation chain centers voice, ASR, TTS, cloning, diarization, or voice agents. - Run
accessibility-normative-listeningwhen the mediation chain changes captions, transcript quality, intelligibility, haptics, or alternate access paths. - Run
critical-political-listeningwhen the mediation chain has power, labor, dataset, archive, platform, access, or institutional stakes. - Synthesize what was transformed, lost, invented, amplified, compressed, or hidden.
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.
- 6d ago First seen · 75 lines · 0 tokens per session scan A a1d6161f22a2
transduce 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 683 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
develop-image-prompt.eval
Generates a detailed image generation prompt from a document or content description. Good output: a prompt that is specific, visual, non-abstract, includes style/composition/lighting guidance, and is calibrated to the specified dimensions and style options.
stardust-use
A command for retrieving an encrypted prompt template from a service, decrypting it in memory, filling in parameters, and generating content. It requires an authenticated session.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.