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daily-news-english-cards

Name: daily-news-english-cards
Author: jasonruan

作者 JasonRUAN · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install daily-news-english-cards

功能描述

Generate daily bilingual English learning cards with vocabulary, summaries, and AI-created comic illustrations from the latest news in politics, finance, spo...

使用说明 (SKILL.md)

Generate daily news English learning cards with comic illustrations.

Search the latest 24-hour news across 5 categories (Politics, Finance, Sports, Entertainment, Technology), create vocabulary-rich learning cards with AI-generated comic art and bilingual summaries.

Use when the user asks to "generate English learning cards", "create news cards", "daily English cards", "新闻英语卡片", "每日英语学习", "生成学习卡片", or similar requests related to news-based English learning content.

Prerequisites

Three API keys are required. Set them as environment variables before running:

Variable	Service	Get Key
`TAVILY_API_KEY`	Tavily Search (news)	https://tavily.com
`DEEPSEEK_API_KEY`	DeepSeek (text gen)	https://platform.deepseek.com
`OPENROUTER_API_KEY`	OpenRouter (image gen)	https://openrouter.ai

Optional:

Variable	Default	Description
`IMAGE_MODEL`	`google/gemini-3.1-flash-image-preview`	OpenRouter image model (Nano Banana 2)

Steps

Verify environment variables are set

Check that TAVILY_API_KEY, DEEPSEEK_API_KEY, and OPENROUTER_API_KEY are configured. If any are missing, prompt the user to set them.

Install dependencies

pip install -q tavily-python openai Pillow requests

Run the generator script
```
python daily-news-english-cards/scripts/generate_cards.py
```
The script will:
- Search 5 categories of news via Tavily
- Generate vocabulary & summaries via DeepSeek
- Create comic illustrations via OpenRouter (Nano Banana 2)
- Composite final learning cards via Pillow
Present results

Show the user the generated card images from output/daily-news-cards/{date}/.

Customization

# Custom categories
python daily-news-english-cards/scripts/generate_cards.py --categories politics sports technology

# Custom output directory
python daily-news-english-cards/scripts/generate_cards.py --output-dir ./my-cards

Output

Each run produces in output/daily-news-cards/{date}/:

card_{category}_{date}.png — Final learning cards (1080×1440px)
comic_{category}_{date}.png — Raw comic illustrations
content_{date}.json — Structured learning content data

Architecture

daily-news-english-cards/
├── SKILL.md                    # This file
├── requirements.txt            # Python dependencies
└── scripts/
    └── generate_cards.py       # Self-contained generator (all logic in one file)

The script is fully portable — works with Cursor, OpenClaw, or standalone CLI. No IDE-specific tools are used; all external calls go through standard APIs.

安全使用建议

This skill appears to implement its advertised functionality, but exercise caution before running it. Key considerations: - Review the generate_cards.py source yourself (it was included) and confirm you trust calls to external APIs (Tavily, DeepSeek, OpenRouter). - The script will auto-install missing Python packages at runtime; run it in a controlled environment (virtualenv, container) so installs don't affect your system Python. - The script auto-loads a .env file from parent folders or the cwd and injects any key=value pairs into the environment if not already set. That can cause unrelated secrets to be used unintentionally — inspect any .env files in the repository tree before running, or delete/rename them. - Provide only the API keys required for the services; avoid placing other sensitive credentials in .env files accessible to this script. - If you want lower risk, set the three required env vars explicitly and run the script in an isolated environment; consider removing or modifying the .env-loading behavior before use. If you want, I can point to the exact lines that implement .env loading and runtime pip installs so you can patch or sandbox them.

功能分析

Type: OpenClaw Skill Name: daily-news-english-cards Version: 1.0.0 The skill bundle is a functional tool for generating English learning cards based on news content. It utilizes legitimate APIs (Tavily, DeepSeek, and OpenRouter) and standard Python libraries like Pillow for image processing. While the script `generate_cards.py` includes automated dependency installation via subprocess and downloads font assets from GitHub, these actions are transparently documented and aligned with the stated purpose of creating a portable, self-contained generator. No evidence of data exfiltration, unauthorized network communication, or malicious intent was found.

能力评估

✓ Purpose & Capability

Name/description align with required APIs and the bundled script: Tavily for news, DeepSeek for text-generation, OpenRouter for images. Required packages in requirements.txt and SKILL.md match the stated functionality.

⚠ Instruction Scope

SKILL.md instructs to set three API keys and run the generator script, which is consistent. However, the script's _load_dotenv() will search for and load a .env file from the script parent directories and the current working directory and inject any key=value pairs into the environment if the key is not already set. That means it may read unrelated secrets from the user's filesystem (e.g., other tokens in a repo-level .env). The SKILL.md does not warn about this behavior.

⚠ Install Mechanism

There is no formal install spec, but the script auto-installs missing Python packages via subprocess.check_call([sys.executable, '-m', 'pip', 'install', ...]) at runtime. Auto-installing packages without an explicit install step can modify the environment unexpectedly and pulls code from package indexes at runtime. The packages themselves are common (tavily-python, openai, Pillow, requests), but runtime pip installs raise risk and surprise.

ℹ Credentials

The three required environment variables (TAVILY_API_KEY, DEEPSEEK_API_KEY, OPENROUTER_API_KEY) are appropriate for the stated services. However, because the script will load .env files and populate os.environ for any keys found, it can introduce additional environment variables that were not declared or intended by the skill. That increases the attack surface if sensitive keys exist in those files.

✓ Persistence & Privilege

The skill is not always-enabled and does not declare persistent elevated privileges. It writes outputs to an output/ directory and caches fonts under ~/.cache/news-cards-fonts, which is reasonable for a generator script. It does not modify other skills' configs.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install daily-news-english-cards
安装完成后，直接呼叫该 Skill 的名称或使用 /daily-news-english-cards 触发
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 daily-news-english-cards skill. - Generates daily English learning cards from the latest news in 5 categories, enhanced with AI-created comic illustrations and bilingual summaries. - Requires API keys for Tavily (news), DeepSeek (text generation), and OpenRouter (image generation). - Outputs include composite card images, raw comic art, and structured JSON content. - Fully portable script works in various environments and supports customization of news categories and output directory.

元数据

Slug daily-news-english-cards

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

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