03-27 00:04 · 科技
Daily news and hot topics via the 6551 API. Supports news categories, hot news articles, and trending tweets by category.
Daily News MCP Server
News Categories · Hot News · Trending Tweets · Crypto Intelligence
claude mcp add daily-news \
-- uv --directory /path/to/daily-news run daily-news-mcp
Replace
/path/to/daily-news
with your local project path.
cp -r openclaw-skill/daily-news ~/.openclaw/skills/6551-daily-news
Not sure if this MCP is safe? Paste the prompt below to your AI assistant — it will review the source code first, then install if safe:
Copy this prompt and send it to your AI assistant (replace
<project-path>
with actual value):
Please review and install the daily-news-mcp MCP server for me. The project is at <project-path>.
Steps:
1. Review these files for security:
- src/daily_news_mcp/api_client.py — Confirm it only connects to ai.6551.io, no data sent elsewhere
- src/daily_news_mcp/config.py — Confirm no hardcoded secrets or leaks
- src/daily_news_mcp/tools.py — Confirm all tools only perform API queries, no file writes, command execution, or dangerous operations
- pyproject.toml — Confirm dependencies are only mcp, httpx, no suspicious packages
2. Tell me your conclusion: safe / risky / problematic, with specific reasons
3. If safe, run the install:
claude mcp add daily-news -- uv --directory <project-path> run daily-news-mcp
Once connected, just ask your AI assistant:
Also supports config.json
in the project root (env vars take precedence):
{
"api_base_url": "https://ai.6551.io",
"max_rows": 100
}
[
{
"key": "crypto",
"name": "Crypto",
"name_zh": "加密货币",
"description": "...",
"subcategories": [
{
"key": "defi",
"name": "DeFi",
"name_zh": "去中心化金融",
"description": "..."
}
]
}
]
{
"success": true,
"category": "crypto",
"subcategory": "defi",
"news": {
"success": true,
"count": 10,
"items": [
{
"id": 123,
"title": "...",
"source": "...",
"link": "https://...",
"score": 85,
"grade": "A",
"signal": "bullish",
"summary_zh": "...",
"summary_en": "...",
"coins": ["BTC", "ETH"],
"published_at": "2026-03-17T10:00:00Z"
}
]
},
"tweets": {
"success": true,
"count": 5,
"items": [
{
"author": "Vitalik Buterin",
"handle": "VitalikButerin",
"content": "...",
"url": "https://...",
"metrics": { "likes": 1000, "retweets": 200, "replies": 50 },
"posted_at": "2026-03-17T09:00:00Z",
"relevance": "high"
}
]
}
}
Other Clients — Manual Install (click to expand)
In all configs below, replace
/path/to/daily-news
with your actual local project path.
Edit config (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
, Windows: %APPDATA%\Claude\claude_desktop_config.json
):
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
~/.cursor/mcp.json
or Settings > MCP Servers:
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
~/.codeium/windsurf/mcp_config.json
:
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
cd /path/to/daily-news
uv sync
uv run daily-news-mcp
# MCP Inspector
npx @modelcontextprotocol/inspector uv --directory /path/to/daily-news run daily-news-mcp
├── README.md # English
├── docs/
│ ├── README_ZH.md # 中文
│ ├── README_JA.md # 日本語
│ └── README_KO.md # 한국어
├── openclaw-skill/daily-news/ # OpenClaw Skill
├── pyproject.toml
├── config.json
└── src/daily_news_mcp/
├── server.py # Entry point
├── app.py # FastMCP instance
├── config.py # Config loader
├── api_client.py # HTTP client
└── tools.py # 2 tools
MIT
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03-27 00:04 · 科技
自动发布 24 小时情报系统：好文章的 80% 在于选题。Hunter AI 自动从 GitHub Trending、Twitter、HackerNews Reddit 等平台采集热点，用 AI 判断哪些值得写，自动生成文章和插图，自动发布。
🌟 如果觉得有帮助，请点击 Star 关注不迷路！🌟
🌟 如果觉得有帮助，请点击 Star 关注不迷路！🌟
🌟 如果觉得有帮助，请点击 Star 关注不迷路！🌟
空白电脑双击即可运行，自动下载 Python + 所有依赖！
# Mac / Linux
bash run.sh
# Windows（双击运行）
run.bat
首次运行需下载环境约 3-5 分钟，之后秒启动
启动后在 Web UI 的「⚙️ 配置」中填入 Gemini API Key，点击保存即可。
# CLI 运行
uv run hunter run -t github # GitHub 模板
uv run hunter run -t pain # 痛点诊断
uv run hunter run --dry-run # 试运行，不推送
┌─────────────────────────────────────────────────────────────────┐
│ Hunter AI 6-Skill 数据流 │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Topic ──→ Research ──→ Structure ──→ Write ──→ Package ──→ Publish
│ 选题判断 深度调研 结构设计 内容写作 封装优化 发布推送
│ │
│ 数据源 ──────────→ AI 分析 ──────────→ 内容输出 ──────────→ 推送
│ GitHub/Twitter/ Gemini 2.0 Markdown PushPlus
│ Reddit/HN/小红书 Flash 公众号文章 微信通知
│ │
└─────────────────────────────────────────────────────────────────┘
# config.yaml
gemini:
api_key: "你的 Gemini API Key"
📝 完整配置示例
# AI 大模型配置（必填）
gemini:
api_key: "你的 API Key"
model: "gemini-2.0-flash"
# GitHub 配置
github:
token: "ghp_xxx" # 可选，提高配额
min_stars: 200
# Twitter 配置
twitter:
cookies_path: "data/cookies.json"
# 小红书配置
xiaohongshu:
cookies: "" # 浏览器 F12 复制
# 推送配置
pushplus:
token: "你的 Token"
enabled: true
# 公众号人设
account:
name: "AI技术前沿"
tone: "专业且引人入胜"
niche: "AI技术"
hunter-ai-content-factory/
├── src/
│ ├── intel/ # 📡 数据采集层
│ ├── templates/ # 📋 内容模板
│ ├── factory/ # 🏭 内容生产
│ └── utils/ # 🔧 工具函数
├── data/ # 数据存储
├── output/ # 输出目录
└── config.yaml # 配置文件
推送成功但公众号没有文章？
PushPlus 推送到的是个人微信聊天窗口，不是公众号。
查看：微信 → 「PushPlus 推送加」公众号 → 聊天窗口
发布：从 output/
目录复制文章，手动发布到公众号
GitHub API 返回 403？
API 限流，配置 github.token
提高配额（60→5000 次/小时）
小红书/Twitter 采集失败？
需要配置对应平台的 Cookie，详见配置说明
欢迎提交 Issue 和 Pull Request！详见 贡献指南
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03-27 00:04 · 科技
1,300+ curated trending AI image prompts from X/Twitter, ranked by engagement. Works with NanoBanana Pro, GPT Image, Midjourney
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03-27 00:04 · 科技
Tracks Claude Code, Codex, Gemini CLI, OpenClaw ecosystem, GitHub AI trending, and Anthropic/OpenAI updates. Daily Chinese digests via GitHub Actions.
A GitHub Actions workflow that runs every morning at 08:00 CST. It aggregates AI ecosystem signals from 10 data sources, then publishes bilingual (Chinese + English) daily digests as GitHub Issues and committed Markdown files. Weekly and monthly rollup reports are also generated automatically.
Browse all historical digests in a clean, dark-themed interface — no login required. Reports are rendered from the Markdown files in this repo via GitHub Pages.
Subscribe to get daily digest notifications pushed directly to your preferred platform. Each message links to all reports for that day (ZH and EN variants) plus the Web UI and RSS feed.
Subscribe in any RSS reader (Feedly, Reeder, NewsBlur, etc.) to receive new digests automatically. The feed includes the latest 30 reports across all report types, updated daily alongside manifest.json
.
https://agents-radar-mcp.duanyytop.workers.dev
A hosted Model Context Protocol server that exposes agents-radar data as tools. Any MCP-compatible client (Claude Desktop, OpenClaw, etc.) can query the latest AI ecosystem reports directly.
Available tools:
Claude Desktop setup — add to ~/Library/Application Support/Claude/claude_desktop_config.json
:
{
"mcpServers": {
"agents-radar": {
"url": "https://agents-radar-mcp.duanyytop.workers.dev"
}
}
}
Restart Claude Desktop after saving. You can then ask Claude things like:
- "What's the latest in AI CLI tools?" → calls
get_latest
- "Search for Claude Code mentions this week" → calls
search
- "Show me the AI trending report for 2026-03-05" → calls
get_report
OpenClaw setup — run the following command:
openclaw mcp add --transport http agents-radar https://agents-radar-mcp.duanyytop.workers.dev
Or add it manually to ~/.openclaw/openclaw.json
:
{
"mcpServers": {
"agents-radar": {
"type": "http",
"url": "https://agents-radar-mcp.duanyytop.workers.dev"
}
}
}
You can then ask OpenClaw things like:
- "What's the latest in AI CLI tools?" → calls
get_latest
- "Search for Claude Code mentions this week" → calls
search
- "Show me the AI trending report for 2026-03-05" → calls
get_report
Self-hosting — deploy your own instance from the mcp/
directory:
cd mcp
pnpm install
wrangler deploy
PRs and issues are fetched without a date filter and sorted by popularity (comment count), so the report always reflects the most actively discussed skills — not just the newest.
OpenClaw is tracked as the primary reference project, alongside several peer projects in the personal AI assistant / autonomous agent space for cross-ecosystem comparison.
Two data sources are fetched in parallel every day:
The LLM filters out non-AI repos from the trending list, classifies the rest by dimension (AI infrastructure / agents / applications / models / RAG), and extracts trend signals.
Top AI stories from the last 24 hours, fetched via the Algolia HN Search API. Six queries run in parallel (AI
, LLM
, Claude
, OpenAI
, Anthropic
, machine learning
), results are deduplicated and ranked by points. The top 30 storie
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03-27 00:04 · 科技
Natively - Free open-source AI interview copilot & meeting assistant. The best Cluely alternative, Final Round AI alternative, and Interview Coder alternative. Real-time transcription, undetectable stealth mode, local RAG, BYOK. No subscriptions. No data breaches.
If you’re looking for a hosted desktop recording API, consider checking out Recall.ai, an API that records Zoom, Google Meet, Microsoft Teams, in-person meetings, and more.
The best free alternative to Cluely, Final Round AI, LockedIn AI, and Interview Coder.
Same UI as Cluely. More features. $0. Open source. No data breaches.
Competitors charge $20–$149/month, store your data on their servers, and one already breached 83,000 users. Natively costs $0, runs locally, and has never had a data breach. Your keys, your models, your machine.
Requires macOS 12+ (Apple Silicon & Intel) or Windows 10/11
👥 9,000+ Users · 🔥 700+ DAU · 💸 $0 vs $149/mo rivals · ⚡ <500ms latency · 🛡️ 0 data breaches
Natively started as a pixel-perfect recreation of Cluely's interface — then kept going. If you've used Cluely, you already know how to use Natively. Same overlay, same workflow, same shortcuts. Except it's free, open-source, runs locally, supports any LLM, and has never breached a single user's data.
Looking for a free Cluely alternative? A Cluely open-source clone? You found it.
Natively works as a free, undetectable AI coding interview assistant for standard online assessments. It captures your screen, analyzes the problem, and gives you real-time hints, solutions, and explanations — all through an invisible overlay that doesn't interfere with your coding environment.
Works undetected on:
- LeetCode (including LeetCode contests)
- HackerRank
- CoderPad
- Codility
- HackerEarth
- Karat
- Any browser-based coding environment
How it works:
- Screenshot the problem with a single shortcut
- Natively OCRs the question and sends it to your chosen AI (GPT, Claude, Gemini, or local Ollama)
- Response appears in the invisible overlay — never on screen share
⚠️ Important: Natively is not designed to bypass dedicated proctoring software like Pearson VUE, ProctorU, or Respondus Lockdown Browser — these run at the OS level and are a different category entirely. For standard online coding assessments without dedicated proctoring software, Natively's stealth mode is not detectable.
- Cluely had a data breach in mid-2025 that exposed 83,000 users' personal info, transcripts, and screenshots — Natively stores everything locally by default with limited anonymous telemetry and has never had a breach.
- Final Round AI costs $149/month and its taskbar icon is visible to proctoring software — Natively is free, open-source, and has a battle-tested undetectable stealth mode.
- LockedIn AI charges $55–70/month and locks you into their cloud LLM with no local option — Natively lets you use any model (GPT, Claude, Gemini, Llama) or go fully offline with Ollama.
Every star pushes Natively higher in GitHub search, helping developers and job seekers find a free, private alternative instead of paying $149/month for tools that store their data on someone else's server.
This demo shows a complete live meeting scenario:
- Real-time transcription as the meeting happens
- Rolling context awareness across multiple speakers
- Screenshot analysis of shared slides
- Instant generation of what to say next
- Follow-up questions and concise responses
- All happening live, without recording or post-processing
Legend: ✅ Full support ·
⚠️ Partial or limited · ❌ Not available
The UI is intentionally familiar — if you've used Cluely, there's zero learning curve.
Cluely's mid-2025 data breach exposed personal information, full interview transcripts, and screenshots of 83,000 users. Every word spoken during an interview was stored on their servers — and then leaked. They charge $20/month for this privilege.
By default, Natively stores everything on your local machine, with only limited anonymous telemetry (basic GA4 install tracking, zero personal data). Your transcripts, API keys, and screenshots never leave your machine when using your own keys. The entire codebase is open-source (AGPL-3.0) and auditable. Zero breaches — that is the only acceptable standard for a tool that listens to your interviews.
LockedIn AI is the most expensive tool in the category at $55–70/month. It locks you into a single cloud LLM with no option for local inference. Every transcript and response passes through their servers.
Natively supports every major model (Gemini, GPT, Claude, Groq) via bring-your-own-key, and offers 100% offline mode through Ollama. You pay only for the API tokens you actually use — or pay nothing at all by running Llama 3 locally. No subscription, no vendor lock-in.
Final Round AI is the most expensive option at $149/month, optimized for pre-interview prep and mock interviews but with the slowest live latency in the category. Critically, its taskbar icon is visible to proctoring software, making it detectable during monitored interviews.
Natively delivers <500ms end-to-end latency using Rust-based native audio capture with Zero-Copy ABI Transfers. Its undetectable stealth mode hides from the dock, disguises process names, and syncs state across all windows — battle-tested
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03-27 00:02 · Clawhub,OpenClaw,技能,工具,天气,技术
获取当前天气和天气预报的实用技能
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim 'no API key required' and the instructions call only to wttr.in and open-meteo (both free/no-key). However, SKILL.md metadata lists curl as a required binary while the registry metadata shows 'Required binaries: none' — a small inconsistency (curl is reasonably required for the documented usage).
Instruction Scope
SKILL.md only instructs making HTTP requests to wttr.in and open-meteo and saving an optional PNG to /tmp; it does not instruct reading unrelated files, accessing credentials, or sending data to unexpected endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk footprint and is appropriate for a curl-based weather helper.
Credentials
The skill requests no environment variables or credentials, which is proportionate to its function. (curl availability is the only operational dependency.)
Persistence & Privilege
always:false and no special persistence requested. The skill can be invoked autonomously by the agent per platform defaults, but it does not request elevated or permanent privileges.
Assessment
This skill uses curl to fetch weather from wttr.in and Open‑Meteo and does not request any keys or install software. Before installing: ensure you are comfortable with the agent making outbound HTTP requests (queries will include the location you ask for), confirm curl is available on the host if you want the one-liners to work, and note the small metadata mismatch (registry says no required binaries while SKILL.md lists curl). If you want to avoid network access or remote logging of queried locations, do not enable this skill or restrict the agent's network permissions.Like a lobster shell, security has layers — review code before you run it.
latestvk97b2hmpej53w1qhpm2fsk5d9n7yjpz5
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03-27 00:02 · Clawhub,OpenClaw,技能,AI,视频,技术
根据文字描述或参考图片生成视频的技能
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
AI视频生成与编辑，使用火山引擎 Doubao Seedance 模型。支持文生视频、图生视频、有声视频。当用户要求生成视频、制作视频、文生视频、图生视频时使用此 skill。
Like a lobster shell, security has layers — review code before you run it.
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03-27 00:02 · Clawhub,OpenClaw,技能,AI,记忆,技术
生产级长期记忆管理技能，支持智能提取、混合检索等功能
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
This skill should be used when working with memory-lancedb-pro, a production-grade long-term memory MCP plugin for OpenClaw AI agents. Use when installing, c...
Like a lobster shell, security has layers — review code before you run it.
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03-27 00:02 · Clawhub,OpenClaw,技能,AI,图像,技术
基于文字描述的图片生成技能，支持多种风格和模型
Generate images using multiple AI models — Midjourney (via Legnext.ai), Flux, Nano Banana Pro (Gemini), Ideogram, Recraft, and more via fal.ai. Intelligently...
Like a lobster shell, security has layers — review code before you run it.
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03-27 00:02 · Clawhub,OpenClaw,技能,微博,技术
OpenClaw微博发帖自动化技能，支持格式校验、定时发帖等功能
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
发微博（新浪微博）。当用户说"发微博"、"发条微博"、"发到微博"、"发一条微博"、"帮我发微博"、"发到微博"时触发。使用浏览器自动发微博。
Like a lobster shell, security has layers — review code before you run it.
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