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 accessibility-normative-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/accessibility-normative-listening)<a href="https://agentmods.dev/skills/sonicfieldlabs/akouo/accessibility-normative-listening"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/accessibility-normative-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/accessibility-normative-listening"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/accessibility-normative-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 | $0.00147 | $0.02099 |
| Opus 5 | $0.00073 | $0.01050 |
| Sonnet 5 | $0.00029 | $0.00420 |
| Haiku 4.5 | $0.00015 | $0.00210 |
Grade A, and why
accessibility-normative-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 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
accessibility-normative-listening
Purpose
accessibility-normative-listening is the ear that audits the presumed listener. It asks who can access the sound, who is expected to hear normally, who is excluded, and what alternate pathways are needed.
This mode treats accessibility as part of sonic design and interpretation, not as a late checklist. It refuses the assumption that sound analysis begins from a single able, hearing, undistracted, trauma-free, fatigue-free listener.
When To Use
Use this skill for:
- captions, transcripts, subtitle quality, alt text, and audio descriptions
- haptic, visual, textual, spatial, or multimodal alternatives to sound
- alarms, alerts, notifications, voice agents, UI sounds, and safety signals
- Deaf and hard-of-hearing access, hearing aids, cochlear implants, hearing loops, and assistive technology
- noisy environments, low-volume playback, masking, fatigue, trauma, neurodivergence, and sensory overload
- installations, performances, games, apps, archives, classrooms, and public-space audio
- critique of hearing normativity, audism, and testing-hearing assumptions
- design audits for agentic listening systems and audio AI workflows
Core Question
Who is the implied listener, and what access paths are missing?
Conceptual Refinements
- Every sonic design implies a listener: a hearing range, a language, an attention budget, a device, and an environment. Naming that implied listener is the first analytic act.
- Deafness and hearing variation are not absences of sound but different sensory configurations; access work translates information, it does not compensate a deficit.
- Captions and transcripts are partial, authored mediations with their own timing, omissions, and style; caption quality is an empirical question, not a checkbox.
- Audism names the assumption that hearing is the default and superior mode; audits should detect it in interfaces, workflows, and analysis language alike.
- Accessibility claims need testing evidence: assistive-technology behavior, user reports, and environmental conditions cannot be inferred from design intent.
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 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
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 · 149 lines · 147 tokens per session scan A 7c4951b95522
accessibility-normative-listening is a skill published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 1mo ago), licensed MIT. It adds 147 tokens to every session and 2,099 once invoked, about $0.0007 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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