Crawler Summary

ai-news-daily answer-first brief

每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines. --- name: ai-news-daily description: "每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines." --- AI News Daily — 每日 AI 新聞爬取 + NotebookLM 簡報 自動化的多平台 AI 新聞聚合與簡報製作系統。 架構概覽 完整執行流程 步驟 1:爬取最新內容 - 從 Not Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

ai-news-daily 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

Claim this agent
Agent DossierGitHubSafety: 89/100

ai-news-daily

每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines. --- name: ai-news-daily description: "每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines." --- AI News Daily — 每日 AI 新聞爬取 + NotebookLM 簡報 自動化的多平台 AI 新聞聚合與簡報製作系統。 架構概覽 完整執行流程 步驟 1:爬取最新內容 - 從 Not

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

Mela0976

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Unpublished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/mela0976/openclaw-skill-ai-news-daily.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

Mela0976

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

3

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

Notion 頻道清單 → 多平台爬蟲 → Notion 頻道近期影片 DB
                                      ↓
                              內容主題分類(非平台)
                                      ↓
                          NotebookLM 記事本 + 匯入來源
                                      ↓
                            AI 深度分析 → 記事 → 來源
                                      ↓
                           黑板風格簡報 PDF 生成
                                      ↓
                    Google Drive 備份 + Notion 日報頁面回填

bash

# NotebookLM Python 套件
pip install --break-system-packages notebooklm-py

# Google APIs
cd /tmp && npm install googleapis

# Playwright (if needed for Twitter)
npm install playwright-core

json

{
  "schedule": { "kind": "cron", "expr": "0 5 * * *", "tz": "Asia/Taipei" },
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "timeoutSeconds": 2400
  }
}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines. --- name: ai-news-daily description: "每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines." --- AI News Daily — 每日 AI 新聞爬取 + NotebookLM 簡報 自動化的多平台 AI 新聞聚合與簡報製作系統。 架構概覽 完整執行流程 步驟 1:爬取最新內容 - 從 Not

Full README

name: ai-news-daily description: "每日自動爬取多平台 AI 新聞頻道,分類匯入 NotebookLM,產出深度分析報告與黑板風格簡報 PDF,備份至 Google Drive,回填 Notion 日報頁面。支援 YouTube、Twitter/X、Reddit、Blog/RSS、Bilibili 等平台。Use when: scheduling daily AI news crawl, creating NotebookLM slide decks from news, or managing multi-platform content aggregation pipelines."

AI News Daily — 每日 AI 新聞爬取 + NotebookLM 簡報

自動化的多平台 AI 新聞聚合與簡報製作系統。

架構概覽

Notion 頻道清單 → 多平台爬蟲 → Notion 頻道近期影片 DB
                                      ↓
                              內容主題分類(非平台)
                                      ↓
                          NotebookLM 記事本 + 匯入來源
                                      ↓
                            AI 深度分析 → 記事 → 來源
                                      ↓
                           黑板風格簡報 PDF 生成
                                      ↓
                    Google Drive 備份 + Notion 日報頁面回填

完整執行流程

步驟 1:爬取最新內容

  • 從 Notion「AI 新聞必追頻道」DB 取得所有頻道
  • 執行 scripts/fetch-all-channels.mjs 多平台爬蟲
  • 結果寫入 Notion「頻道近期影片」DB

步驟 2:建立 Notion 日報頁面

  • 標題格式:AI 新聞日報 YYYY-MM-DD(台灣時間)
  • 開頭預留 NotebookLM + PDF 連結區塊

步驟 3:內容主題分類

  • 依內容主題(非平台)分類
  • 參考分類:Gemini/新模型、AI工具應用、AI產業動態、AI開源模型、AI安全倫理、創作者經營、開發者工具、其他科技
  • 每篇含標題超連結

步驟 4:建立 NotebookLM 記事本 + 匯入來源

  • 每個分類建一個記事本(名稱:分類名 + 日期)
  • YouTube → youtube source
  • Twitter/Reddit → 文字摘要 source
  • Blog/文章 → URL source

步驟 4.5:AI 深度分析(關鍵步驟)

對每個記事本:

  1. 等待所有 source 處理完成
  2. 用 client.chat.send() 發送分析指令(見 references/analysis-prompt.md)
  3. 將回應存為 記事 (Note)
  4. 將記事轉換為來源
  5. 等待來源處理完成

步驟 5:製作簡報

  • 僅使用步驟 4.5 的分析報告來源(source_ids 限定)
  • 黑板風格指令(見 references/slide-prompt.md)
  • 一次最多 5 個,避免限速
  • 限速時等 10 分鐘重試,最多 3 次

步驟 6:下載 PDF + Google Drive 備份

  • 下載所有完成的 PDF
  • 上傳 Google Drive 日期資料夾
  • 設為公開可讀

步驟 7:回填 Notion 頁面

  • 頁面開頭加入各分類 📓 NotebookLM + 📥 PDF 連結

步驟 8:通知用戶

  • 爬取總數、分類數量、Notion 日報連結、NotebookLM 連結

支援平台

| 平台 | 方法 | 備註 | |------|------|------| | YouTube | RSS feed (channel_id) | 自動解析 handle → channel_id | | Twitter/X | Playwright 瀏覽器爬取 | 需要 X cookies | | Reddit | RSS (/r/sub/new.rss) | 取前 5 篇高互動文 | | Blog/Newsletter | RSS/Atom 自動探測 | 含多個特殊站點映射 | | Bilibili | RSSHub + API fallback | 需中國 IP(可能受限) | | Podcast | RSS feed | 同 Blog 處理 |

前置需求

必要

  • Node.js 18+
  • Notion API key
  • NotebookLM 認證 (storage_state.json)
  • Google Drive OAuth credentials

選用

  • Playwright + Chromium(Twitter/X 爬取)
  • X/Twitter cookies(認證瀏覽)
  • notebooklm-py Python 套件

安裝依賴

# NotebookLM Python 套件
pip install --break-system-packages notebooklm-py

# Google APIs
cd /tmp && npm install googleapis

# Playwright (if needed for Twitter)
npm install playwright-core

Notion DB 結構

AI 新聞必追頻道 DB

| 欄位 | 類型 | 說明 | |------|------|------| | 名稱 | title | 頻道名稱 | | 連結 | url | 頻道首頁 | | 平台 | select | YouTube/Twitter/Reddit/Blog... | | 國家/地區 | select | 🇹🇼 台灣 / 🇨🇳 中國 / 🇺🇸 美國 |

頻道近期影片 DB

| 欄位 | 類型 | 說明 | |------|------|------| | 標題 | title | 影片/文章標題 | | 影片連結 | url | 原始連結 | | 頻道 | select | 來源頻道 | | 發布日期 | date | 原始發布日期 | | 爬取日期 | date | 爬取日期(台灣時間) |

排程設定(OpenClaw Cron)

建議每天台灣時間 05:00 執行,超時 40 分鐘:

{
  "schedule": { "kind": "cron", "expr": "0 5 * * *", "tz": "Asia/Taipei" },
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "timeoutSeconds": 2400
  }
}

國家判斷規則

  • 簡體字 → 🇨🇳 中國
  • 繁體字 → 🇹🇼 台灣

限速處理

  • NotebookLM slide-deck 同時最多提交 5 個
  • 每個間隔 5 秒以上
  • RATE_LIMITED 時等待 10 分鐘重試
  • 最多重試 3 次

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/mela0976-openclaw-skill-ai-news-daily/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/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.

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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/mela0976-openclaw-skill-ai-news-daily/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:29:15.883Z"
    }
  },
  "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": "Mela0976",
    "href": "https://github.com/mela0976/openclaw-skill-ai-news-daily",
    "sourceUrl": "https://github.com/mela0976/openclaw-skill-ai-news-daily",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:14.390Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:14.390Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mela0976-openclaw-skill-ai-news-daily/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 ai-news-daily and adjacent AI workflows.