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h-ear听到

Agent Skill

h-ear 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

16,622

周安装

679

GitHub Stars

1

下载量

5,378
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:h-ear(听到)
来源仓库:https://github.com/badajoz95/h-ear
安装命令:
openclaw skills install h-ear
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install h-ear

简介

h-ear 用于查找、检索和筛选相关信息,适合在 OpenClaw 中处理音频环境数据时使用。

  • 将环境声音转化为可操作的翻译层,适用于智能感知和实时响应场景。
  • 通过 clawhub 安装,命令为 openclaw skills install h-ear,依赖 H-ear.world 服务。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 建议在隐私敏感场景下评估音频整理风险,确保符合本地法规。

SKILL.md

name
h-ear
description
H-ear.world transforms sound into an actionable, meaningful translation layer of the world around you. Describe, share and act upon environmental audio as a machine sensor that empowers you, your business and your AI flow.
version
1.1.5
author
H-ear World
homepage
https://h-ear.world
metadata
{"openclaw": {"requires": {"env": ["HEAR_API_KEY", "HEAR_ENV"], "bins": []}, "primaryEnv": "HEAR_API_KEY"}}

<!-- Version: keep in sync with package.json. Runtime code reads from package.json via createRequire — this header is the static manifest the OpenClaw gateway parses at install/registration time. Bump both together. -->

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 environmental audio as a machine sensor that empowers you, your business and your AI flow.

Commands

<!-- @doc-sync-ref gen:#openclaw-commands -->

CommandDescription
h-ear healthCheck H-ear API health and liveness (no auth required).
h-ear usageShow API usage statistics (minutes, calls, quota).
h-ear sounds <search>List supported sound classes (521+ across 3 taxonomies).
h-ear jobsList recent classification jobs (paginated).
h-ear job <jobId>Get detail for one job: status, fileName, eventCount, timestamps.
h-ear job events <jobId>Get noise events for a completed job (timeline order, filterable).
h-ear job audio <jobId>Get a 1-hour SAS URL to stream the source audio of a job.
h-ear job waveform <jobId>Get pre-computed peaks.js waveform + audio URL.
h-ear job report <jobId>Get a 7-day SAS URL to download the Excel analysis report.
h-ear classify <fileOrUrl>Classify audio (URL or local file). Polls until complete.
h-ear classify batchSubmit a batch of audio URLs for asynchronous classification (callback delivery).
h-ear webhook listList enterprise webhook registrations.
h-ear webhook get <webhookId>Show one webhook (URL, events, filter config, delivery stats).
h-ear webhook create <url>Create an enterprise webhook (returns signing secret ONCE).
h-ear webhook update <webhookId>Update webhook URL, status (active/paused), or filters.
h-ear webhook delete <webhookId>Permanently delete a webhook (cannot be undone).
h-ear webhook ping <webhookId>Send a test ping to a webhook (verify connectivity + signing).
h-ear webhook deliveries <webhookId>Audit trail: recent delivery attempts for a webhook.

<!-- @end-doc-ref -->

For per-command help with all flags and examples, run h-ear <command> --help. For machine-readable schemas (LLM-friendly introspection): h-ear --list-tools --json.

Setup

VariableRequiredDefaultDescription
HEAR_API_KEYYes*H-ear Enterprise API key (ncm_sk_...). Required unless HEAR_BEARER_TOKEN is set. Get one at h-ear.world.
HEAR_BEARER_TOKENYes*OAuth bearer token. Alternative to HEAR_API_KEY — one of the two must be set.
HEAR_ENVYesTarget environment: dev, staging, or prod.
HEAR_BASE_URLNoPer-environment defaultOverride 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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.37%
按下载量换算4,484

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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