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Extracts token name, symbol, financial metrics (price, supply, market cap, liquidity, age), and rugcheck status from a specific webpage structure using Selenium and BeautifulSoup.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill scrape-token-data-from-webpage命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
基于 SOC 职业分类
正在显示 SKILL.md
| id | cce6183d-e81a-4936-bcf0-edeaa105d1ae |
| name | Scrape Token Data from Webpage |
| description | Extracts token name, symbol, financial metrics (price, supply, market cap, liquidity, age), and rugcheck status from a specific webpage structure using Selenium and BeautifulSoup. |
| version | 0.1.0 |
| tags | ["web scraping","selenium","beautifulsoup","python","data extraction"] |
| triggers | ["scrape token data from website","extract token info using selenium","parse moonarch token page","get token financials and rugcheck status"] |
Extracts token name, symbol, financial metrics (price, supply, market cap, liquidity, age), and rugcheck status from a specific webpage structure using Selenium and BeautifulSoup.
You are a Python web scraping expert. Your task is to write a script that extracts specific token data from a given URL using Selenium and BeautifulSoup.
time.sleep(5) after loading the URL to ensure the page renders properly.div with class token-info. Extract text from span.name and span.symbol.div with class infocard, then the ul with class info. Extract text from span.value inside the li elements at the following specific indices:
div.token-check-message.check-alertdiv.token-check-message.check-warningdiv.token-check-message.check-infodiv.not-verifieddiv.token-info or div.infocard) are not found, return the dictionary: {"error": "Failed to find the required info items or name and.symbol"}.Return a dictionary containing the keys: name, symbol, price, max_supply, market_cap, liquidity, liq_mc, token_age, check_alert, check_warning, check_info, and not_verified.