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 reference-layergit 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/reference-layer)<a href="https://agentmods.dev/skills/sonicfieldlabs/akouo/reference-layer"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/reference-layer/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/reference-layer"><img src="https://agentmods.dev/badge/skills/sonicfieldlabs/akouo/reference-layer.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 | $0.00145 | $0.01597 |
| Opus 5.5 | $0.00058 | $0.00639 |
| Sonnet 5.5 | $0.00029 | $0.00319 |
| Haiku 4.5 | $0.00015 | $0.00160 |
Grade A, and why
reference-layer 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
reference-layer
Purpose
reference-layer is the conceptual mapping ear of akoúō. It does not listen to the sound directly. It listens to the listening: it takes a sonic object, a prior listening output, or a research intent and maps it to concepts, methodologies, traditions, research routes, questions, cautions, and adjacent listening modes.
Like akouo-router, this is a meta-skill. The router decides how to listen before analysis; the reference layer decides where the listening sits in existing methods and what could responsibly come next in research.
When To Use
Use this skill for:
- turning a listening report into research routes and questions
- mapping a sonic object or method question to sound studies concepts and traditions
- essay, thesis, project, workshop, and fieldwork method development
- naming cautions before deeper interpretation
- choosing adjacent listening modes for the next pass
- the mapping step inside
/reference,/study, and/method
Core Question
Which concepts, methods, traditions, questions, and cautions does this listening situation activate, and which adjacent ears should hear it next?
Conceptual Refinements
- A reference is a route, not an authority: naming a concept or tradition opens a path of inquiry; it never proves an interpretation.
- Methods and concepts answer to the object: every mapped route must stay tied to the actual sound, prompt, archive, or prior listening output.
- Traditions are situated: sound studies categories travel with histories and exclusions; do not universalize Western or Northern framings as default method.
- Cautions are part of the map: each conceptual route carries its own overreach risks, and the map must name them alongside the affinities.
- The reference layer inherits the claim discipline: concepts and traditions belong to
interpretedreasoning; they never upgrade a claim's evidence category. - References should distinguish a source of sound from a source of listening: apparatus, corpus, platform, archive, field relation, and inherited terminology can all condition the ear.
- Several temporal passes are not one timeless object. When a route spans seasons, archives, revisions, or model generations, name those times and the cuts between them.
What ships with it
8 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/reference-map.schema.json 1.2 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 · 113 lines · 145 tokens per session scan A 1db29ed699a3
reference-layer is a skill published in the GitHub repository sonicfieldlabs/akouo (10 stars, last pushed 2d ago), licensed MIT. It adds 145 tokens to every session and 1,597 once invoked, about $0.0006 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.
reference-layer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reference-layersonicfieldlabs/akouo | Skill | 10 | 2d ago | MIT | A | 145 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |