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heihu123

站酷每日推荐日报

by heihu123 · GitHub ↗ · v1.0.7 · MIT-0
cross-platform ✓ Security Clean
165
Downloads
0
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0
Active Installs
8
Versions
Install in OpenClaw
/install zcool-daily
Description
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)
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install zcool-daily
  3. After installation, invoke the skill by name or use /zcool-daily
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug zcool-daily
Version 1.0.7
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 8
Frequently Asked Questions

What is 站酷每日推荐日报?

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). It is an AI Agent Skill for Claude Code / OpenClaw, with 165 downloads so far.

How do I install 站酷每日推荐日报?

Run "/install zcool-daily" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 站酷每日推荐日报 free?

Yes, 站酷每日推荐日报 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 站酷每日推荐日报 support?

站酷每日推荐日报 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 站酷每日推荐日报?

It is built and maintained by heihu123 (@heihu123); the current version is v1.0.7.

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