Agent skill

Healthcare Monitor

by aAAaqwq in aAAaqwq/AGI-Super-Team

医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。

MITAuto-check: notes

Install Healthcare Monitor

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill healthcare-monitor -a claude-code

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

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team healthcare-monitor --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/healthcare-monitor .claude/skills/healthcare-monitor && 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
healthcare-monitor
GitHub stars
105
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
163 words
Files
65 (incl. scripts)
Skills in repo
167
Repo updated
First seen
Licence
MIT

At a glance

医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。

  • Works in 7 steps: 企业监控列表管理 → 工商变更检测 → 融资信号识别 → …
  • SKILL.md covers 概述, 核心功能, 文件结构 and 快速开始, plus 6 more sections
  • Calls python3

What it does

Healthcare Monitor is an agent skill from aAAaqwq/AGI-Super-Team. 医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 69 other files, including scripts (for example `config/companies.json`, `config/settings.json` and `data/funding_checks/check_2026-02-06.json`).

The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

Example prompts

  • “/healthcare-monitor”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Exec, Browser, Message, Cron

Workflow steps

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

  1. 企业监控列表管理
  2. 工商变更检测
  3. 融资信号识别
  4. 多渠道推送
  5. 添加监控企业
  6. 手动检查
  7. 设置定时任务

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Exec
    • Browser
    • Message
    • Cron

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, 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

    No URLs in SKILL.md.

    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

Healthcare Monitor loads about 1.3k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 163 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Exec, Browser, Message, Cron

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 aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 163 words, ~1,278 tokens.

Download SKILL.mdSave it as .claude/skills/healthcare-monitor/SKILL.md (or your agent's skills folder). This skill also uses 64 other files; get the full folder from GitHub.
name
healthcare-monitor
description
医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。
allowed-tools
Bash, Read, Write, Edit, Exec, Browser, Message, Cron

医疗行业企业融资监控系统

概述

本技能实现医疗健康行业企业的融资信号实时监控,通过工商变更数据识别未披露的融资事件,为媒体、投资机构提供情报服务。

核心功能

1. 企业监控列表管理
  • 添加/删除监控企业
  • 按行业、地区、规模分类
  • 设置监控优先级
2. 工商变更检测
  • 定时爬取天眼查/企查查
  • 增量对比检测变更
  • 识别关键变更类型
3. 融资信号识别
  • AI 判断是否为融资
  • 融资轮次推断
  • 投资方识别
4. 多渠道推送
  • Telegram 实时告警
  • 飞书群组推送
  • 日报/周报生成

文件结构

skills/healthcare-monitor/
├── SKILL.md                 # 技能说明
├── config/
│   ├── companies.json       # 监控企业列表
│   └── settings.json        # 配置参数
├── scripts/
│   ├── monitor.py           # 主监控脚本
│   ├── scraper.py           # 数据采集
│   ├── analyzer.py          # 融资分析
│   └── notifier.py          # 推送通知
├── data/
│   ├── snapshots/           # 企业快照
│   ├── changes/             # 变更记录
│   └── reports/             # 生成的报告
└── templates/
    ├── alert.md             # 告警模板
    └── daily_report.md      # 日报模板

快速开始

1. 添加监控企业
bash
# 添加单个企业
python3 ~/clawd/skills/healthcare-monitor/scripts/monitor.py add "北京某某医疗科技有限公司"

# 批量导入
python3 ~/clawd/skills/healthcare-monitor/scripts/monitor.py import companies.csv
2. 手动检查
bash
# 检查所有企业
python3 ~/clawd/skills/healthcare-monitor/scripts/monitor.py check

# 检查单个企业
python3 ~/clawd/skills/healthcare-monitor/scripts/monitor.py check "公司名称"
3. 设置定时任务
bash
# 每小时检查重点企业
# 使用 OpenClaw cron 工具设置

融资信号识别规则

强信号 (置信度 >80%)
信号描述权重
新增机构股东股东名称包含"投资/资本/基金/创投"+40
注册资本增加增幅 >10%+30
股权稀释创始人持股比例下降+20
中信号 (置信度 50-80%)
信号描述权重
新增自然人股东可能是投资人代持+15
经营范围扩大业务扩张信号+10
办公地址变更搬迁到更好区域+10
弱信号 (置信度 <50%)
信号描述权重
仅注册资本增加可能是内部增资+10
法人变更可能是内部调整+5
融资轮次判断
yaml
种子/天使轮:
  - 公司成立 <2 年
  - 注册资本 <500 万
  - 新股东为天使投资人

A轮:
  - 公司成立 2-4 年
  - 注册资本增幅 20-50%
  - 新股东为知名 VC

B轮+:
  - 公司成立 >3 年
  - 注册资本增幅 10-30%
  - 新股东为大型 PE/战略投资者

数据采集

天眼查采集
python
# 采集字段
fields = {
    "basic": ["公司名称", "法人", "注册资本", "成立日期", "经营状态"],
    "shareholders": ["股东名称", "持股比例", "认缴出资", "出资日期"],
    "changes": ["变更时间", "变更项目", "变更前", "变更后"],
    "investments": ["被投企业", "投资金额", "投资时间"],
}
反爬策略
yaml
策略:
  - 使用 Playwright 无头浏览器
  - 随机延迟 3-10 秒
  - 轮换 User-Agent
  - 代理 IP 池 (可选)
  - 模拟人类行为 (滚动、点击)

限制:
  - 每小时最多 100 次请求
  - 单企业每天最多查询 3 次
  - 遇到验证码暂停并告警

推送配置

Telegram 推送
json
{
  "telegram": {
    "enabled": true,
    "bot_token": "从 config 读取",
    "chat_id": "REDACTED_TG_USER_ID",
    "alert_level": "high"
  }
}
飞书推送
json
{
  "feishu": {
    "enabled": true,
    "webhook": "从 config 读取",
    "alert_level": "all"
  }
}

告警模板

融资告警
markdown
🚨 **融资信号告警**

**企业**: {{company_name}}
**变更时间**: {{change_date}}
**置信度**: {{confidence}}%

**变更详情**:
- 注册资本: {{old_capital}} → {{new_capital}}
- 新增股东: {{new_shareholders}}
- 股权变化: {{equity_changes}}

**AI 分析**:
- 融资轮次: {{round_estimate}}
- 融资金额: {{amount_estimate}}
- 投资方: {{investors}}

**数据来源**: 天眼查
**监控时间**: {{monitor_time}}

API 接口

查询企业状态
bash
GET /api/company/{company_name}

Response:
{
  "name": "公司名称",
  "last_check": "2026-02-03 22:00:00",
  "status": "normal",
  "recent_changes": [...],
  "funding_signals": [...]
}
添加监控
bash
POST /api/monitor
{
  "company_name": "公司名称",
  "priority": "high",
  "check_interval": "hourly"
}

使用场景

场景一: 媒体情报

动脉网等医疗媒体使用,第一时间获取融资新闻线索。

yaml
工作流:
  1. 系统检测到融资信号
  2. 推送到编辑 Telegram
  3. 编辑核实后发布新闻
  4. 比竞争对手快 24-48 小时
场景二: 投资机构

VC/PE 使用,发现潜在投资标的或跟投机会。

yaml
工作流:
  1. 系统检测到 A 轮融资
  2. 推送到投资经理
  3. 评估是否跟进
  4. 主动联系企业
场景三: 大药企 BD

药企商务拓展部门使用,寻找合作/收购标的。

yaml
工作流:
  1. 系统检测到目标领域企业融资
  2. 推送到 BD 团队
  3. 评估合作可能性
  4. 发起商务接触

监控企业列表 (初始)

医疗器械
  • 迈瑞医疗
  • 联影医疗
  • 微创医疗
  • 先瑞达医疗
  • 心脉医疗
创新药
  • 百济神州
  • 信达生物
  • 君实生物
  • 再鼎医药
  • 和黄医药
医疗AI
  • 推想科技
  • 数坤科技
  • 深睿医疗
  • 汇医慧影
  • 医渡云
互联网医疗
  • 微医集团
  • 丁香园
  • 春雨医生
  • 好大夫在线
  • 平安好医生
基因检测
  • 华大基因
  • 贝瑞基因
  • 燃石医学
  • 泛生子
  • 诺禾致源

配置参数

json
{
  "check_interval": {
    "high_priority": "1h",
    "normal": "6h",
    "low": "24h"
  },
  "alert_threshold": {
    "confidence": 60,
    "capital_change_percent": 10
  },
  "scraper": {
    "delay_min": 3,
    "delay_max": 10,
    "max_requests_per_hour": 100
  },
  "notification": {
    "telegram": true,
    "feishu": true,
    "email": false
  }
}

故障排查

问题: 爬取失败
bash
# 检查日志
tail -f ~/clawd/skills/healthcare-monitor/data/logs/scraper.log

# 常见原因
- IP 被封: 更换代理
- 验证码: 人工处理或接入打码平台
- 页面结构变化: 更新选择器
问题: 误报过多
bash
# 调整置信度阈值
# 编辑 config/settings.json
{
  "alert_threshold": {
    "confidence": 70  # 提高阈值
  }
}

相关文件

  • ~/clawd/docs/solutions/healthcare-data-intelligence.md - 完整解决方案
  • ~/.openclaw/agents/healthcare-monitor/ - Agent 配置
  • ~/clawd/skills/healthcare-monitor/data/ - 数据存储

TODO

  • 实现天眼查爬虫
  • 实现融资信号 AI 分析
  • 设置定时任务
  • 对接飞书推送
  • 添加 Web 管理界面
  • 支持更多数据源 (企查查、启信宝)
  • 实现日报/周报自动生成

© aAAaqwq, 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 64 other files (scripts) in skills/healthcare-monitor of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • config/companies.json
  • config/settings.json
  • data/changes/信达生物_changes.jsonl
  • data/changes/推想医疗_changes.jsonl
  • data/changes/百济神州_changes.jsonl
  • data/changes/联影医疗_changes.jsonl
  • data/changes/迈瑞医疗_changes.jsonl
  • data/funding_checks/check_2026-02-06.json
  • data/funding_checks/check_2026-02-07.json
  • data/reports/daily_2026-02-05.json
  • data/reports/daily_2026-02-05.md
  • data/reports/daily_2026-02-06.json
  • data/reports/daily_2026-02-06.md
  • data/reports/daily_2026-02-09.json
  • data/reports/daily_2026-02-09.md
  • … and 49 more

Open the folder on GitHubat commit 7cefd81

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Healthcare Monitor 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.

Healthcare Monitor compared with similar skills
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Healthcare Monitor this skillaAAaqwq/AGI-Super-Team1051 repos~1.3kAutomated safety check: NotesMIT
Healthcare Phi Complianceaffaan-m/ECC277k1 repos~1.4kAutomated safety check: PassMIT
Qdrant Monitoringgithub/awesome-copilot40k1 repos~276Automated safety check: PassMIT
Monitoring Capture ServicePostHog/posthog40k—~5kAutomated safety check: PassCustom licence
Monitoring Ingestion PipelinePostHog/posthog40k—~9.1kAutomated safety check: PassCustom licence
Healthcare Eval Harnessaffaan-m/ECC277k1 repos~2kAutomated safety check: PassMIT

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Questions about Healthcare Monitor

What does Healthcare Monitor do?

医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更,识别融资信号,自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。. Healthcare Monitor is an agent skill from aAAaqwq/AGI-Super-Team.

How do I install Healthcare Monitor in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill healthcare-monitor -a claude-code`. Or copy the skill folder (skills/healthcare-monitor in aAAaqwq/AGI-Super-Team) into .claude/skills/healthcare-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Healthcare Monitor in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill healthcare-monitor -a codex`. Or copy the skill folder (skills/healthcare-monitor in aAAaqwq/AGI-Super-Team) into .agents/skills/healthcare-monitor in your project. Codex loads it when a task matches its description.

Can I use Healthcare Monitor 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 aAAaqwq/AGI-Super-Team --skill healthcare-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/healthcare-monitor, .gemini/skills/healthcare-monitor, .github/skills/healthcare-monitor and .opencode/skills/healthcare-monitor in your project.

What does Healthcare Monitor need to run?

Going by SKILL.md and its folder, Healthcare Monitor needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Exec, Browser, Message, Cron.

Does Healthcare Monitor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Healthcare Monitor safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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 Healthcare Monitor use?

Healthcare Monitor 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 Healthcare Monitor use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Healthcare Monitor?

Skills that share tags, products or a category with Healthcare Monitor: Healthcare Phi Compliance (affaan-m/ECC, 277k stars), Qdrant Monitoring (github/awesome-copilot, 40k stars), Monitoring Capture Service (PostHog/posthog, 40k stars) and Monitoring Ingestion Pipeline (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Healthcare Monitor?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.