Agent skill

Industry Intelligence Radar

by chubbyguan in chubbyguan/chubbyskills

行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达

MITAuto-check passedKnowledge Management

Install Industry Intelligence Radar

skills CLI
$ npx skills add chubbyguan/chubbyskills --skill industry-intelligence-radar -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install chubbyguan/chubbyskills industry-intelligence-radar --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/chubbyguan/chubbyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/industry-intelligence-radar .claude/skills/industry-intelligence-radar && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
industry-intelligence-radar
GitHub stars
1.2k
Token cost
~806 tokens
SKILL.md length
126 words
Files
2 (incl. scripts)
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达

  • Works in 4 steps: 多源扫描 → 信号过滤 → 趋势检测 → …
  • Knowledge Management work in your project
  • SKILL.md covers 核心价值, 数据源, 关键词矩阵 and 工作流程, plus 3 more sections
  • Runs Python scripts from its folder; calls python3; reaches 36kr.com and sspai.com

What it does

Industry Intelligence Radar is an agent skill from chubbyguan/chubbyskills. 行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/scan.py`).

It sits in Knowledge Management. The repository describes itself as: 把中文全渠道内容(抖音 / B站 / 小红书 / 公众号 / X / 播客)采集进个人知识库的 14 个 AI Skill:图文存图、视频转文字稿、字幕优先免 GPU、RSS/YouTube 订阅调度与每日情报简报,附带知识库 MCP server。| Ingest Chinese content into your personal knowledge… The licence is MIT.

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/industry-intelligence-radar”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 多源扫描
  2. 信号过滤
  3. 趋势检测
  4. 生成情报简报

What it can do on your machine

Read from SKILL.md and the folder at commit 1b759b1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • 36kr.com
    • sspai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Industry Intelligence Radar loads about 806 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~806

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from chubbyguan/chubbyskills at commit 1b759b1, republished under its MIT licence (© chubbyguan). 126 words, ~806 tokens.

Download SKILL.mdSave it as .claude/skills/industry-intelligence-radar/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
industry-intelligence-radar
description
行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达
metadata.triggers
["行业情报", "竞品监控", "热点扫描", "情报雷达", "今天有什么大事件"]
metadata.version
1.0
metadata.created
2026-06-02
metadata.tags
["intelligence", "monitoring", "x-search", "trends"]

行业情报雷达

核心价值

信息差优势:早知道 = 早行动 = 早收益

数据源

数据源接入方式是否需配置信号强度
Hacker Newsscan.py 内置(Algolia API)否(免费)⭐⭐⭐⭐
V2EXscan.py 内置(官方热门 API)否(免费)⭐⭐⭐
36kr / 虎嗅 / 少数派等scan.py RSS 源(config.rss)否(填 RSS 地址即可)⭐⭐⭐
X/TwitterAgent 联网搜索 / X API需 X API Key⭐⭐⭐⭐⭐
即刻Agent 联网搜索需搜索能力⭐⭐⭐⭐

scan.py 仅用 Python 标准库即可跑通 HN + V2EX + 任意 RSS 源,零依赖、无需 API Key。 X/即刻没有稳定的公开接口,由 Agent 用联网搜索能力补充(见 Phase 1)。

关键词矩阵

用户兴趣领域
yaml
AI/Agent:
  - "AI agent" OR "AI 工具" OR "LLM" OR "大模型"
  - "Claude" OR "GPT" OR "Gemini" OR "DeepSeek"
  - "MCP" OR "tool use" OR "function calling"

半导体:
  - "半导体" OR "芯片" OR "chip" OR "semiconductor"
  - "台积电" OR "TSMC" OR "英伟达" OR "NVIDIA"

航天:
  - "航天" OR "火箭" OR "卫星" OR "SpaceX"
  - "星链" OR "Starlink"

新能源:
  - "新能源" OR "电动车" OR "电池"
  - "特斯拉" OR "Tesla" OR "比亚迪"

游戏:
  - "游戏" OR "Steam" OR "Switch" OR "PS5"
  - "米哈游" OR "原神" OR "黑神话"

跨境电商:
  - "跨境电商" OR "TikTok Shop" OR "SHEIN"
  - "独立站" OR "DTC"

创业/投资:
  - "创业" OR "融资" OR "投资"
  - "YC" OR "a16z" OR "红杉"

工作流程

Phase 1: 多源扫描

① 脚本扫描(HN + V2EX + RSS,免费、可 cron)

bash
# 用内置关键词矩阵扫最近 24 小时,输出简报到文件
python3 scripts/scan.py --hours 24 --output 简报-$(date +%F).md

# 自定义关键词 / 追加 RSS 源(36kr、虎嗅、少数派等)
python3 scripts/scan.py --config keywords.json --hours 24

keywords.json 示例:

json
{
  "keywords": {
    "AI/Agent": ["AI agent", "LLM", "Claude", "MCP"],
    "半导体": ["半导体", "NVIDIA", "TSMC"]
  },
  "high_signal": ["融资", "发布", "launch", "raise"],
  "rss": ["https://www.36kr.com/feed", "https://sspai.com/feed"]
}

② Agent 联网补充(X / 即刻,需搜索能力)

脚本覆盖不到的实时社交信号,由 Agent 用联网搜索补充,再并入简报:

搜索 X/Twitter:"AI agent OR LLM OR 大模型" 最近 24 小时高互动内容
搜索即刻:"AI OR Agent OR 创业" 高质量讨论
Phase 2: 信号过滤

过滤规则:

  1. 去重:同一事件只保留最高质量来源
  2. 时效:只保留 24 小时内的内容
  3. 信号强度:
    • 🔴 高信号:融资、发布、政策变化、重大合作
    • 🟡 中信号:产品更新、行业讨论、观点碰撞
    • 🟢 低信号:日常动态、重复信息
Phase 3: 趋势检测

检测维度:

  1. 突发趋势:某话题突然大量出现
  2. 持续趋势:某话题持续一周以上高频出现
  3. 新兴趋势:新概念/新工具首次出现
Phase 4: 生成情报简报

输出格式:

markdown
# 📡 行业情报简报 - YYYY-MM-DD

## 🔴 高信号(必须关注)

### 1. [事件标题]
- **来源**:X/Twitter @xxx
- **时间**:2 小时前
- **摘要**:一句话概括
- **影响**:对我/行业的影响
- **行动建议**:是否需要立即响应

## 🟡 中信号(值得了解)

### 2. [事件标题]
- **来源**:即刻 @xxx
- **摘要**:一句话概括
- **关联**:与我关注的 XX 领域相关

## 📈 趋势观察

### [趋势名称]
- **热度**:⬆️ 上升 / ⬇️ 下降 / ➡️ 平稳
- **持续时间**:X 天
- **相关讨论**:[链接1] [链接2]

## 💡 机会洞察

基于今日情报,发现以下潜在机会:
1. [机会1]
2. [机会2]

## 📊 数据统计

- 扫描源:5 个
- 原始条目:150+
- 筛选后:25 条
- 高信号:3 条

Cron 配置

yaml
# 每日早报(工作日 8:30)
schedule: "30 8 * * 1-5"
deliver: feishu

# 可选:午间快报(12:00)
schedule: "0 12 * * 1-5"
deliver: feishu

输出目标

  1. 飞书群:每日情报推送
  2. 知识库:高价值情报存入 wiki/📡 外部输入/情报/
  3. 选题库:发现好选题自动进入选题池

反模式

  • ❌ 不要追求全量,信号 > 数量
  • ❌ 不要只翻译,要有自己的判断
  • ❌ 不要忽略中文社区(即刻、V2EX)
  • ✅ 每条情报必须有「对我有什么用」的结论
  • ✅ 优先独家/一手信息源

© chubbyguan, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in industry-intelligence-radar of chubbyguan/chubbyskills.

  • SKILL.md
  • scripts/scan.py

Open the folder on GitHubat commit 1b759b1

Compare with similar skills

Industry Intelligence Radar next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Youtube Transcriptintellectronica/agent-skills2952 repos~394Automated safety check: PassCC0-1.0
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Questions about Industry Intelligence Radar

What does Industry Intelligence Radar do?

行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达. Industry Intelligence Radar is an agent skill from chubbyguan/chubbyskills.

When should I use Industry Intelligence Radar?

Industry Intelligence Radar fits situations like: knowledge Management work in your project.

How do I install Industry Intelligence Radar in Claude Code?

Run `npx skills add chubbyguan/chubbyskills --skill industry-intelligence-radar -a claude-code`. Or copy the skill folder (industry-intelligence-radar in chubbyguan/chubbyskills) into .claude/skills/industry-intelligence-radar in your project. Claude Code loads it when a task matches its description.

How do I install Industry Intelligence Radar in Codex?

Run `npx skills add chubbyguan/chubbyskills --skill industry-intelligence-radar -a codex`. Or copy the skill folder (industry-intelligence-radar in chubbyguan/chubbyskills) into .agents/skills/industry-intelligence-radar in your project. Codex loads it when a task matches its description.

Can I use Industry Intelligence Radar in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chubbyguan/chubbyskills --skill industry-intelligence-radar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/industry-intelligence-radar, .gemini/skills/industry-intelligence-radar, .github/skills/industry-intelligence-radar and .opencode/skills/industry-intelligence-radar in your project.

What does Industry Intelligence Radar need to run?

Going by SKILL.md and its folder, Industry Intelligence Radar needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Industry Intelligence Radar access the network?

SKILL.md names 2 domains. In commands or code: 36kr.com and sspai.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Industry Intelligence Radar safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Industry Intelligence Radar use?

Industry Intelligence Radar is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Industry Intelligence Radar use?

About 806 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Industry Intelligence Radar?

Skills that share tags, products or a category with Industry Intelligence Radar: Video Transcripts (udecode/plate-playground-template, 241 stars), Video Lens (kar2phi/video-lens, 113 stars), Youtube Transcript Extractor API Skill (browser-act/skills, 6.1k stars) and Youtube Transcript (intellectronica/agent-skills, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Industry Intelligence Radar?

chubbyguan (a GitHub user) maintains it in chubbyguan/chubbyskills, which has 1,205 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: chubbyguan/chubbyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.