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reportgama

作者 wangxuan1992asia-svg · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
78
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install reportgama
功能描述
🎯 深度市场调研报告生成技能 —— 专为目标国家+目标品类量身定制。支持13个信息采集模块:多语种搜索、新闻监控、竞争分析、电商价格、广告投放、海关数据、政府招标(Tender)、医疗器械注册证(Roszdravnadzor)、Telegram社群、VKontakte社群、医疗机构分布、参考定价(ЖНВЛП)。...
安全使用建议
Do not run this skill blindly. Key issues to check before installing/using: 1) The SKILL.md expects Python scripts (scripts/master.py, report_generator.py, pdf_exporter.py) that are not included — ask the provider for the full repository or the missing code. 2) If you obtain the code, review those scripts for network calls, credential usage, and data exfiltration before running. 3) Run pip installs in an isolated environment (virtualenv/container) and review installed packages; avoid installing on critical machines. 4) Confirm you have legal/rightful access to scrape the listed sites and whether API keys or paid services are required; the skill does not declare any credentials. 5) If you need the functionality but the code is missing, prefer getting an official release (e.g., the GitHub repo release) and inspect it first. If you want, provide the upstream repo or the missing scripts and I can re-evaluate with the full code.
功能分析
Type: OpenClaw Skill Name: reportgama Version: 1.0.0 The Report-gama skill bundle is a comprehensive market research tool designed to generate detailed industry reports, specifically targeting the Russian medical device market. The provided files, including SKILL.md, hs_codes.md, and industry_keywords.md, outline a legitimate workflow for aggregating data from public sources such as Yandex, government tender portals (zakupki.gov.ru), and ecommerce platforms (Ozon, Wildberries). The instructions for the AI agent are task-oriented and lack any signs of malicious intent, such as data exfiltration, unauthorized execution, or harmful prompt injection.
能力评估
Purpose & Capability
The SKILL.md describes a multi-source market-intelligence scraper + PDF generator and declares Python/pip and several Python libraries — that part is coherent. However the runtime instructions repeatedly reference scripts (e.g., scripts/master.py, report_generator.py, pdf_exporter.py) and a scripts folder, but no code files or scripts are included in the package. That mismatch means the skill as distributed cannot perform the advertised capabilities without additional, unstated code.
Instruction Scope
Instructions direct broad web scraping (search engines, Yandex/Google/Baidu, e‑commerce platforms, TGStat/site:t.me, VK, government tender sites, Roszdravnadzor, UN Comtrade) and then programmatic report generation. While this scope matches the stated purpose, it also instructs contacting many external endpoints and implicitly scraping content across jurisdictions. The SKILL.md does not declare any required API keys or how to handle site-specific auth/ToS constraints; it also instructs running scripts that are not present.
Install Mechanism
No install spec that downloads arbitrary binaries; metadata requests running 'pip3 install' of common libraries (requests, beautifulsoup4, lxml, fake-useragent, matplotlib, reportlab, pillow, etc.). These packages are reasonable for scraping and PDF generation, but installing third-party Python packages can introduce risk — and fake-useragent is often used to spoof clients. The install is proportionate but should be performed in a controlled environment.
Credentials
The skill requests no environment variables or credentials. That is safer, but also inconsistent with some of the declared data sources (e.g., some APIs or paid services like TGStat, Yandex/Google quotas, or e‑commerce APIs may require keys). The absence of declared credentials means the SKILL.md assumes unauthenticated scraping of many sites; confirm whether you need API keys or accounts for some sources before use.
Persistence & Privilege
No special persistence flags (always:false) and no system config paths requested. This is an instruction-only skill with no installation creating persistent presence in the agent beyond normal invocation rights.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install reportgama
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /reportgama 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Report-gama: an in-depth, multilingual market research report generation tool. - Supports 13 information collection modules, including multilingual search, news monitoring, competitor analysis, ecommerce price tracking, ad campaigns, customs data, government tenders, medical device registration, social groups, and more. - Automatically generates a professional 15-chapter report with charts and PDF export. - Covers country/category-specific intelligence—especially detailed for Russia and CIS medical device markets. - Features a modular, concurrent workflow with quality grading for data sources. - Offers flexible command-line usage for quick, standard, or deep reports and individual modules. - Includes pre-configured keyword strategies and data source mapping for key countries.
元数据
Slug reportgama
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

reportgama 是什么?

🎯 深度市场调研报告生成技能 —— 专为目标国家+目标品类量身定制。支持13个信息采集模块:多语种搜索、新闻监控、竞争分析、电商价格、广告投放、海关数据、政府招标(Tender)、医疗器械注册证(Roszdravnadzor)、Telegram社群、VKontakte社群、医疗机构分布、参考定价(ЖНВЛП)。... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 78 次。

如何安装 reportgama?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install reportgama」即可一键安装,无需额外配置。

reportgama 是免费的吗?

是的,reportgama 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

reportgama 支持哪些平台?

reportgama 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 reportgama?

由 wangxuan1992asia-svg(@wangxuan1992asia-svg)开发并维护,当前版本 v1.0.0。

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