h-ear
H-ear.world transforms sound into an actionable, meaningful translation layer of the world around you. Describe, share and act upon audio as a spatiotemporal annotated soundscape that empowers you, your business and your AI flow.
Best use case
h-ear is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
H-ear.world transforms sound into an actionable, meaningful translation layer of the world around you. Describe, share and act upon audio as a spatiotemporal annotated soundscape that empowers you, your business and your AI flow.
Teams using h-ear should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/h-ear/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How h-ear Compares
| Feature / Agent | h-ear | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
H-ear.world transforms sound into an actionable, meaningful translation layer of the world around you. Describe, share and act upon audio as a spatiotemporal annotated soundscape that empowers you, your business and your AI flow.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# H-ear — Sound Intelligence for AI Agents H-ear.world transforms sound into an actionable, meaningful translation layer of the world around you. Describe, share and act upon audio as a spatiotemporal annotated soundscape that empowers you, your business and your AI flow. ## Commands | Command | Description | |---------|-------------| | `classify <url>` | Classify audio from a URL. Returns detected sound classes with confidence scores. | | `classify batch <url1> <url2>...` | Batch classify multiple audio URLs. Results delivered asynchronously via the gateway's webhook endpoint. | | `sounds [search]` | List supported sound classes (521+ across 3 taxonomies). | | `usage` | Show API usage statistics (minutes, calls, quota). | | `jobs [last N]` | List recent classification jobs with status. | | `job <id>` | Show detailed job results with classifications. | | `alerts on <sound>` | Enable real-time alerts for a sound class. Notifications delivered to your connected channel via the gateway. | | `alerts off <sound>` | Disable alerts for a sound class. | | `health` | Check API status. | ## Setup | Variable | Required | Default | Description | |----------|----------|---------|-------------| | `HEAR_API_KEY` | Yes* | | H-ear Enterprise API key (`ncm_sk_...`). Required unless `HEAR_BEARER_TOKEN` is set. Get one at [h-ear.world](https://h-ear.world). | | `HEAR_BEARER_TOKEN` | Yes* | | OAuth bearer token. Alternative to `HEAR_API_KEY` — one of the two must be set. | | `HEAR_ENV` | Yes | | Target environment: `dev`, `staging`, or `prod`. | | `HEAR_BASE_URL` | No | Per-environment default | Override API base URL (advanced). | *One of `HEAR_API_KEY` or `HEAR_BEARER_TOKEN` is required. ## Webhook Delivery Batch classification (`classify batch`) and sound alerts (`alerts on`) use webhook callbacks for asynchronous result delivery. The OpenClaw gateway manages webhook endpoints automatically -- the skill registers callbacks against the gateway's own webhook receiver, which routes results back to your connected messaging channel. No external endpoint configuration is required by the user. Webhook events: `job.completed`, `job.failed`, `batch.completed`, `quota.warning`.
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