Crawler Summary

xiaoyuzhou-transcription answer-first brief

将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- name: xiaoyuzhou-transcription description: 将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- 小宇宙播客转录与总结 将小宇宙播客链接转录为文字,生成结构化总结和逐字稿。 环境变量 - QWEN_API_KEY:阿里云 DashScope API Key(必需) 模型配置 | 步骤 | 模型 | 说明 | |------|------|------| | ASR 转录 | qwen3-asr-flash-filetrans | 阿里云语音识别,支持 8 小时长音频 | | 核心要点生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 关键问答生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 逐字稿格式化 | 无需模型 | Pyth Capability contract not published. No trust telemetry is available yet. 6 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

xiaoyuzhou-transcription 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

xiaoyuzhou-transcription

将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- name: xiaoyuzhou-transcription description: 将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- 小宇宙播客转录与总结 将小宇宙播客链接转录为文字,生成结构化总结和逐字稿。 环境变量 - QWEN_API_KEY:阿里云 DashScope API Key(必需) 模型配置 | 步骤 | 模型 | 说明 | |------|------|------| | ASR 转录 | qwen3-asr-flash-filetrans | 阿里云语音识别,支持 8 小时长音频 | | 核心要点生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 关键问答生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 逐字稿格式化 | 无需模型 | Pyth

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals6 GitHub stars

Capability contract not published. No trust telemetry is available yet. 6 GitHub stars reported by the source. Last updated 2/25/2026.

6 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Ychenjk Sudo

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Unpublished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. 6 GitHub stars reported by the source. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/ychenjk-sudo/xiaoyuzhou-transcription-skill.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

Ychenjk Sudo

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

Protocol compatibility

OpenClaw

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

Adoption signal

6 GitHub stars

profilemedium
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

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

export QWEN_API_KEY="sk-xxx"
./scripts/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/xxxxx" /tmp/transcript_raw.json

bash

python3 ./scripts/format_transcript.py /tmp/transcript_raw.json /tmp/transcript_formatted.md

markdown

**说话人** [HH:MM:SS]
段落内容...(超过300字自动分段)

markdown

# [播客名称] [期号]|[标题]

**播客链接**: https://www.xiaoyuzhoufm.com/episode/xxxxx  
**主播**: [主播名]([身份介绍])  
**嘉宾**: [嘉宾名]([身份介绍])

---

## 📌 核心要点

### 1. [主题一]
- 要点内容
- 要点内容

### 2. [主题二]
- 要点内容
- 要点内容

### 3. [主题三]
- 要点内容

...(5-8 个主题分组)

---

## ❓ 关键问答

### Q1: [问题]?
[回答内容]

### Q2: [问题]?
[回答内容]

...(8-10 个问答)

---

## 📝 逐字稿

**说话人** [00:00:00]
段落内容...

**说话人** [00:01:23]
段落内容...

(按说话人分段,超过300字自动换段,带时间戳)

bash

# 基本用法
./scripts/transcribe.sh <小宇宙URL或音频URL> [输出文件]

# 示例
./scripts/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/xxxxx" output.json
./scripts/transcribe.sh "https://media.xyzcdn.net/xxx.mp3" output.json

bash

# 格式化转录结果
python3 ./scripts/format_transcript.py <输入JSON> <输出MD> [最大字数]

# 示例
python3 ./scripts/format_transcript.py /tmp/raw.json /tmp/formatted.md 300

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- name: xiaoyuzhou-transcription description: 将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。 --- 小宇宙播客转录与总结 将小宇宙播客链接转录为文字,生成结构化总结和逐字稿。 环境变量 - QWEN_API_KEY:阿里云 DashScope API Key(必需) 模型配置 | 步骤 | 模型 | 说明 | |------|------|------| | ASR 转录 | qwen3-asr-flash-filetrans | 阿里云语音识别,支持 8 小时长音频 | | 核心要点生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 关键问答生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 逐字稿格式化 | 无需模型 | Pyth

Full README

name: xiaoyuzhou-transcription description: 将小宇宙播客音频转录为文字,并生成内容总结和逐字稿。输入小宇宙链接,自动提取音频、调用Qwen ASR转录、生成核心要点和格式化逐字稿。

小宇宙播客转录与总结

将小宇宙播客链接转录为文字,生成结构化总结和逐字稿。

环境变量

  • QWEN_API_KEY:阿里云 DashScope API Key(必需)

模型配置

| 步骤 | 模型 | 说明 | |------|------|------| | ASR 转录 | qwen3-asr-flash-filetrans | 阿里云语音识别,支持 8 小时长音频 | | 核心要点生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 关键问答生成 | OpenClaw 当前会话模型 | 由 Agent 直接生成 | | 逐字稿格式化 | 无需模型 | Python 脚本处理 |

完整工作流程

Step 1: 转录音频

export QWEN_API_KEY="sk-xxx"
./scripts/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/xxxxx" /tmp/transcript_raw.json

脚本会:

  1. 从小宇宙页面提取音频 URL
  2. 提交异步转录任务(qwen3-asr-flash-filetrans)
  3. 轮询等待完成(通常 2-5 分钟)
  4. 下载完整 JSON 结果

Step 2: 格式化逐字稿

python3 ./scripts/format_transcript.py /tmp/transcript_raw.json /tmp/transcript_formatted.md

输出格式:

**说话人** [HH:MM:SS]
段落内容...(超过300字自动分段)

Step 3: AI 生成总结(由 Agent 执行)

读取转录文本后,Agent 使用当前会话模型生成总结。

生成要求:

  1. 核心要点:提炼 5-8 个最重要的观点,按主题分组
  2. 关键 Q&A:生成 8-10 个问答对,覆盖核心内容
  3. 使用中文,保持简洁专业

Step 4: 整合输出

将总结 + 逐字稿整合成完整 Markdown 文件,保存到 /workspace/podcasts/[播客名称].md


最终输出格式

# [播客名称] [期号]|[标题]

**播客链接**: https://www.xiaoyuzhoufm.com/episode/xxxxx  
**主播**: [主播名]([身份介绍])  
**嘉宾**: [嘉宾名]([身份介绍])

---

## 📌 核心要点

### 1. [主题一]
- 要点内容
- 要点内容

### 2. [主题二]
- 要点内容
- 要点内容

### 3. [主题三]
- 要点内容

...(5-8 个主题分组)

---

## ❓ 关键问答

### Q1: [问题]?
[回答内容]

### Q2: [问题]?
[回答内容]

...(8-10 个问答)

---

## 📝 逐字稿

**说话人** [00:00:00]
段落内容...

**说话人** [00:01:23]
段落内容...

(按说话人分段,超过300字自动换段,带时间戳)

脚本说明

transcribe.sh

# 基本用法
./scripts/transcribe.sh <小宇宙URL或音频URL> [输出文件]

# 示例
./scripts/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/xxxxx" output.json
./scripts/transcribe.sh "https://media.xyzcdn.net/xxx.mp3" output.json

format_transcript.py

# 格式化转录结果
python3 ./scripts/format_transcript.py <输入JSON> <输出MD> [最大字数]

# 示例
python3 ./scripts/format_transcript.py /tmp/raw.json /tmp/formatted.md 300

技术细节

  • ASR 模型: qwen3-asr-flash-filetrans(支持 8 小时长音频)
  • 异步转录: 使用 X-DashScope-Async 头
  • 轮询间隔: 10 秒
  • 超时: 1 小时
  • 说话人识别: 通过内容特征("我是XXX")识别,非模型 diarization

注意事项

  1. 长音频(1小时+)转录需要 2-10 分钟
  2. 当前模型不支持说话人分离,通过内容特征识别说话人
  3. 需要安装 jq 和 python3
  4. 核心要点和 Q&A 质量取决于 OpenClaw 当前会话使用的模型

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/ychenjk-sudo-xiaoyuzhou-transcription-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/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.

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

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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/ychenjk-sudo-xiaoyuzhou-transcription-skill/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T22:22:03.953Z"
    }
  },
  "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": "Ychenjk Sudo",
    "href": "https://github.com/ychenjk-sudo/xiaoyuzhou-transcription-skill",
    "sourceUrl": "https://github.com/ychenjk-sudo/xiaoyuzhou-transcription-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:58.019Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:58.019Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "6 GitHub stars",
    "href": "https://github.com/ychenjk-sudo/xiaoyuzhou-transcription-skill",
    "sourceUrl": "https://github.com/ychenjk-sudo/xiaoyuzhou-transcription-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:58.019Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/ychenjk-sudo-xiaoyuzhou-transcription-skill/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
  }
]

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