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 embodied-affective-listeninggit 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/embodied-affective-listening)<a href="https://agentmods.dev/skills/sonicfieldlabs/akouo/embodied-affective-listening"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/embodied-affective-listening/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/embodied-affective-listening"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/embodied-affective-listening.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 | $0.00133 | $0.02023 |
| Opus 5.5 | $0.00053 | $0.00809 |
| Sonnet 5.5 | $0.00027 | $0.00405 |
| Haiku 4.5 | $0.00013 | $0.00202 |
Grade A, and why
embodied-affective-listening 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 2mo 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
embodied-affective-listening
Purpose
embodied-affective-listening is the body ear of akoúō. It listens for force, pressure, intensity, mood, vibration, fatigue, pleasure, discomfort, dread, propulsion, attention capture, and subperceptual charge.
This mode asks what sound does before, beneath, or beside conscious interpretation, while refusing to universalize bodily response.
When To Use
Use this skill for:
- bass music
- club music
- reggaetón
- noise
- drone
- ambient
- ASMR
- sirens and alarms
- sonic weapons or coercive sound
- military sound
- immersive installation
- sound therapy or meditation contexts
- atmospheres of dread, suspension, euphoria, exhaustion, intimacy, or propulsion
- any sound where bodily response matters more than source identification
Core Question
What does this sound do before, beneath, or beside conscious interpretation?
Conceptual Refinements
- Separate affect from named emotion: affect is intensity, tendency, pressure, or capacity before it becomes "fear," "joy," or another stable feeling.
- Treat haptic audition as distributed across skin, bone, chest, feet, breath, posture, and room coupling, not only the ear.
- Distinguish focused attention from broad awareness; both may be shifted by repetition, immersion, fatigue, or meditation.
- Analyze sonic warfare only when there is coercion, crowd modulation, policing, military context, or concrete bodily targeting, not merely because a sound is loud.
- Accessibility, trauma history, hearing variation, disability, playback level, and room acoustics are not afterthoughts; they condition the claim.
Input Assumptions
This skill can work with:
- audio files
- prompts describing sound intensity or affect
- listener reports
- installation notes
- performance notes
- field notes about volume, space, and bodies
- technical data about loudness, bass, repetition, or spatial pressure
- accessibility notes, listener reports, or hearing-context descriptions
Embodied effects depend on playback system, room, volume, hearing ability, history, trauma, fatigue, culture, and expectation. If these are missing, the skill must mark bodily claims as inferred or interpreted, not universal facts.
What ships with it
7 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 12 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
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.
- 2mo ago First seen · 166 lines · 133 tokens per session scan A 0955d7c9d095
embodied-affective-listening is a skill published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 2d ago), licensed MIT. It adds 133 tokens to every session and 2,023 once invoked, about $0.0005 per session on Opus 5.5. 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.
embodied-affective-listening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| embodied-affective-listeningsonicfieldlabs/akouo | Skill | 10 | 2d ago | MIT | A | 133 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |