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站酷每日推荐日报

作者 heihu123 · GitHub ↗ · v1.0.7 · MIT-0
cross-platform ✓ 安全检测通过
165
总下载
0
收藏
0
当前安装
8
版本数
在 OpenClaw 中安装
/install zcool-daily
功能描述
自动获取站酷(ZCOOL)首页热门设计作品(带链接、分类、亮点描述、趋势统计)
安全使用建议
This skill appears coherent and implements what it claims: it will make HTTP requests to zcool.com.cn and individual work pages, parse the HTML, and save a text file (zcool_daily/zcool_{date}.txt). Before installing or enabling autonomous runs, consider: (1) review the included scripts yourself — the code here is readable and not obfuscated; (2) be aware it will perform outbound network requests (ensure you are comfortable with that and that it complies with ZCOOL's site policies/robots.txt); (3) it writes files to the working directory (zcool_daily) — run in a directory or container where that is acceptable; (4) install dependencies in a virtualenv to avoid affecting system Python; (5) if you will allow the agent to invoke the skill autonomously, note that it will periodically perform network activity when invoked — schedule or restrict execution as needed. If you want extra assurance, run the script in an isolated environment (container/VM) the first time.
功能分析
Type: OpenClaw Skill Name: zcool-daily Version: 1.0.7 The skill bundle is a legitimate web scraper designed to fetch and categorize popular design works from the ZCOOL website. The Python script (scripts/zcool_daily.py) uses standard libraries like requests and BeautifulSoup to extract public data, and the instructions in SKILL.md are entirely consistent with this functionality. There are no signs of data exfiltration, malicious execution, or prompt injection attempts.
能力评估
Purpose & Capability
Name/description (daily ZCOOL recommendations) align with the provided script and example output. The included Python script performs HTML retrieval, classification, highlight generation, and saves a local report — all expected for this purpose.
Instruction Scope
SKILL.md simply instructs running the provided Python script. The script only fetches https://www.zcool.com.cn/ and individual work pages, parses titles/descriptions, classifies items, generates highlights, prints, and writes a text file under the output directory. It does not read other local files, environment variables, or external endpoints outside ZCOOL.
Install Mechanism
No install spec; this is instruction-plus-script. Dependencies are normal Python libraries (requests, beautifulsoup4) installable via pip, which is proportionate to the task. No downloads from unknown hosts or archive extraction are present.
Credentials
The skill requests no environment variables, secrets, or config paths. The absence of credentials is consistent with scraping public webpages.
Persistence & Privilege
Flags show no 'always: true' and default autonomous invocation behavior. The skill does not attempt to modify other skills or system-wide settings; it only writes its own output files to a local directory.
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 zcool-daily
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /zcool-daily 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
v1.0.7
- No changes detected in this version.
v1.0.6
- Simplified and clarified the project description, focusing on automatic retrieval of popular ZCOOL designs with added classification, highlights, and trend stats. - Updated documentation: removed detailed Feishu API credential setup and manual push instructions. - Added output format example and highlight generation rules in "references/output-example.md". - Updated output destination and how to check example outputs. - Cleaned up usage and dependency instructions; removed reference to .env file. - Expanded supported classification types list.
v1.0.5
- Added scripts/requirements.txt to specify project dependencies. - Updated documentation for clearer environment variable setup and usage instructions. - Improved formatting and reorganized SKILL.md for better readability. - Minor clarifications in configuration steps and security notes.
v1.0.4
- Simplified credential configuration: replaced individual config file instructions with a unified .env.example template. - Removed "requires_credentials" and explicit credential prompts from skill metadata. - Now recommends copying and editing scripts/.env.example for environment setup. - Improved documentation for environment variables and usage instructions. - Removed scripts/.env from the repository; users now create their own .env file if needed.
v1.0.3
- Added support and documentation for environment variable configuration using a .env file. - Updated SKILL.md to specify credential requirements in a structured format. - Clarified the use of Feishu API credentials in both manual and automatic modes. - Improved installation prerequisites and initial setup instructions for all users.
v1.0.2
- Added scripts/.env.example to provide an environment variable configuration template. - Removed scripts/zcool_config.json from version control. - Updated SKILL.md with new instructions for using a .env file for configuration and clarified recommendations for environment variable management. - No functional changes to core code; changes focus on improved configuration and setup guidance.
v1.0.1
- 增加环境变量方式配置飞书凭证,推荐用于生产环境,提升安全性 - 取消默认强依赖本地配置文件,配置信息可优先通过环境变量传递 - 手动模式改为推荐使用,强调人工撰写亮点后推送,增强内容专业性 - 更新定时任务示例,支持环境变量一键注入凭证 - 明确安全说明:凭证不再硬编码,全部本地读取,便于审计与合规
v1.0.0
站酷每日推荐日报,每天早上自动抓取站酷推荐。并且标注出亮点,以飞书文档形式发送给您
元数据
Slug zcool-daily
版本 1.0.7
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 8
常见问题

站酷每日推荐日报 是什么?

自动获取站酷(ZCOOL)首页热门设计作品(带链接、分类、亮点描述、趋势统计). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 165 次。

如何安装 站酷每日推荐日报?

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

站酷每日推荐日报 是免费的吗?

是的,站酷每日推荐日报 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

站酷每日推荐日报 支持哪些平台?

站酷每日推荐日报 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 站酷每日推荐日报?

由 heihu123(@heihu123)开发并维护,当前版本 v1.0.7。

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