Crawler Summary

Audio to Text answer-first brief

将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 --- name: Audio to Text description: 将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 read_when: - 将语音消息转成文字 - 会议录音转写 metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["curl","python3"]}}} allowed-tools: Bash, Read --- Audio to Text (ASR) - DashScope 国际版 使用阿里云 DashScope 国际版 API,OpenAI 兼容方式调用。 环境变量 使用方法 Python 脚本 支持的模型 - qwen3-asr-flash (推荐) - qwen3-asr-flash-realtime (实时) - fun-asr-realtime 支持的音频格式 - .ogg, .mp Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

Audio to Text is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Agent DossierGitHubSafety: 89/100

Audio to Text

将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 --- name: Audio to Text description: 将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 read_when: - 将语音消息转成文字 - 会议录音转写 metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["curl","python3"]}}} allowed-tools: Bash, Read --- Audio to Text (ASR) - DashScope 国际版 使用阿里云 DashScope 国际版 API,OpenAI 兼容方式调用。 环境变量 使用方法 Python 脚本 支持的模型 - qwen3-asr-flash (推荐) - qwen3-asr-flash-realtime (实时) - fun-asr-realtime 支持的音频格式 - .ogg, .mp

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Aisouls

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/aisouls/openclaw_skills.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Aisouls

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"

bash

python3 asr_dashscope_base64.py <audio_file>

python

#!/usr/bin/env python3
"""
DashScope 国际版 ASR
使用 OpenAI 兼容接口 + base64 编码音频
模型: qwen3-asr-flash
"""

import base64
import os
import sys
import requests

API_KEY = os.environ.get("DASHSCOPE_API_KEY", "")


def asr_dashscope(audio_path: str, model: str = "qwen3-asr-flash") -> str:
    """使用 DashScope ASR"""
    
    if not API_KEY:
        print("Error: 需要设置 DASHSCOPE_API_KEY", file=sys.stderr)
        sys.exit(1)
    
    if not os.path.exists(audio_path):
        print(f"Error: 文件不存在: {audio_path}", file=sys.stderr)
        sys.exit(1)
    
    # 读取音频并转为 base64
    with open(audio_path, "rb") as f:
        audio_data = f.read()
    
    base64_str = base64.b64encode(audio_data).decode()
    
    # 根据音频格式设置 MIME type
    ext = os.path.splitext(audio_path)[1].lower()
    mime_types = {
        '.ogg': 'audio/ogg',
        '.mp3': 'audio/mpeg',
        '.wav': 'audio/wav',
        '.m4a': 'audio/mp4',
    }
    mime_type = mime_types.get(ext, 'audio/ogg')
    
    data_uri = f"data:{mime_type};base64,{base64_str}"
    
    # 调用 API
    url = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions"
    
    payload = {
        "model": model,
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "type": "input_audio",
                        "input_audio": {
                            "data": data_uri
                        }
                    }
                ]
            }
        ],
        "stream": False
    }
    
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    
    print(f"正在转写: {audio_path}...", file=sys.stderr)
    
    response = requests.post(url, headers=headers, json=payload, timeout=120)
    result = response.json()
    
    if response.status_code == 200:
        content = result.get("choices", [{}])[0].get("message", {}).get("content", "")
        return content
    else:
        

bash

# 设置 API key
export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"

# 转写
python3 /root/.openclaw/workspace/skills/audio-to-text/asr_dashscope_base64.py /path/to/audio.ogg

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 --- name: Audio to Text description: 将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 read_when: - 将语音消息转成文字 - 会议录音转写 metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["curl","python3"]}}} allowed-tools: Bash, Read --- Audio to Text (ASR) - DashScope 国际版 使用阿里云 DashScope 国际版 API,OpenAI 兼容方式调用。 环境变量 使用方法 Python 脚本 支持的模型 - qwen3-asr-flash (推荐) - qwen3-asr-flash-realtime (实时) - fun-asr-realtime 支持的音频格式 - .ogg, .mp

Full README

name: Audio to Text description: 将音频文件转换为文字 (ASR)。使用 DashScope 国际版 (OpenAI 兼容接口)。 read_when:

  • 将语音消息转成文字
  • 会议录音转写 metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["curl","python3"]}}} allowed-tools: Bash, Read

Audio to Text (ASR) - DashScope 国际版

使用阿里云 DashScope 国际版 API,OpenAI 兼容方式调用。

环境变量

export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"

使用方法

python3 asr_dashscope_base64.py <audio_file>

Python 脚本

#!/usr/bin/env python3
"""
DashScope 国际版 ASR
使用 OpenAI 兼容接口 + base64 编码音频
模型: qwen3-asr-flash
"""

import base64
import os
import sys
import requests

API_KEY = os.environ.get("DASHSCOPE_API_KEY", "")


def asr_dashscope(audio_path: str, model: str = "qwen3-asr-flash") -> str:
    """使用 DashScope ASR"""
    
    if not API_KEY:
        print("Error: 需要设置 DASHSCOPE_API_KEY", file=sys.stderr)
        sys.exit(1)
    
    if not os.path.exists(audio_path):
        print(f"Error: 文件不存在: {audio_path}", file=sys.stderr)
        sys.exit(1)
    
    # 读取音频并转为 base64
    with open(audio_path, "rb") as f:
        audio_data = f.read()
    
    base64_str = base64.b64encode(audio_data).decode()
    
    # 根据音频格式设置 MIME type
    ext = os.path.splitext(audio_path)[1].lower()
    mime_types = {
        '.ogg': 'audio/ogg',
        '.mp3': 'audio/mpeg',
        '.wav': 'audio/wav',
        '.m4a': 'audio/mp4',
    }
    mime_type = mime_types.get(ext, 'audio/ogg')
    
    data_uri = f"data:{mime_type};base64,{base64_str}"
    
    # 调用 API
    url = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions"
    
    payload = {
        "model": model,
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "type": "input_audio",
                        "input_audio": {
                            "data": data_uri
                        }
                    }
                ]
            }
        ],
        "stream": False
    }
    
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    
    print(f"正在转写: {audio_path}...", file=sys.stderr)
    
    response = requests.post(url, headers=headers, json=payload, timeout=120)
    result = response.json()
    
    if response.status_code == 200:
        content = result.get("choices", [{}])[0].get("message", {}).get("content", "")
        return content
    else:
        print(f"Error: {response.status_code}", file=sys.stderr)
        print(result, file=sys.stderr)
        sys.exit(1)


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("Usage: python3 asr_dashscope_base64.py <audio_file>")
        sys.exit(1)
    
    audio_file = sys.argv[1]
    result = asr_dashscope(audio_file)
    print(result)

支持的模型

  • qwen3-asr-flash (推荐)
  • qwen3-asr-flash-realtime (实时)
  • fun-asr-realtime

支持的音频格式

  • .ogg, .mp3, .wav, .m4a

使用示例

# 设置 API key
export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"

# 转写
python3 /root/.openclaw/workspace/skills/audio-to-text/asr_dashscope_base64.py /path/to/audio.ogg

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/contract"
curl -s "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
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Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
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cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
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CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T20:55:33.676Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Aisouls",
    "href": "https://github.com/aisouls/openclaw_skills",
    "sourceUrl": "https://github.com/aisouls/openclaw_skills",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:06:53.917Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:06:53.917Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/aisouls-openclaw-skills/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to Audio to Text and adjacent AI workflows.