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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Mela0976
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Mela0976
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
typescript
Parameters
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
}
}Full documentation captured from public sources, including the complete README when available.
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
自動化的多平台 AI 新聞聚合與簡報製作系統。
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
scripts/fetch-all-channels.mjs 多平台爬蟲AI 新聞日報 YYYY-MM-DD(台灣時間)對每個記事本:
client.chat.send() 發送分析指令(見 references/analysis-prompt.md)references/slide-prompt.md)| 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 |
storage_state.json)notebooklm-py Python 套件# 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
| 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 |
| 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) |
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
}
}
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
The Frontend for Agents & Generative UI. React + Angular
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.