majiayu000 Scientific Podcast Summary
ID: 189
Version: 1.0.0
Description: Automatically summarizes core content from Huberman Lab or Nature Podcast, generating text briefings.
Usage
# Summarize latest episode
python skills/scientific-podcast-summary/scripts/main.py --podcast huberman
# Specify episode URL
python skills/scientific-podcast-summary/scripts/main.py --url "https://..."
# Save to file
python skills/scientific-podcast-summary/scripts/main.py --podcast nature --output ./summary.md
Arguments
| Argument | Required | Default | Description |
|---|---|---|---|
--podcast |
Optional | huberman | Select podcast source: huberman or nature |
--url |
Optional | - | Directly provide podcast page URL |
--output |
Optional | - | Output file path |
--format |
Optional | markdown | Output format: markdown, json |
Output Format
Generated briefing contains:
- 🎙️ Podcast title and release date
- 👤 Host and guest information
- 📝 Core topic overview
- 🔬 Key scientific findings/points (3-5 items)
- 💡 Practical advice/action guidelines
- 📚 Related resource links
Dependencies
- Python 3.8+
- requests
- beautifulsoup4
- openai (or compatible API)
Installation
pip install requests beautifulsoup4 openai
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY |
Yes | LLM API Key |
OPENAI_BASE_URL |
No | Custom API Base URL |
OPENAI_MODEL |
No | Model name, default gpt-4o-mini |
Example Output
# 🎙️ Huberman Lab: The Science of Sleep
**Release Date:** 2024-01-15
**Guest:** Dr. Matthew Walker
## 📝 Core Topic
This episode delves into the neuroscience mechanisms of sleep...
## 🔬 Key Points
1. **Sleep Cycles** - Humans experience 4-6 90-minute sleep cycles each night...
2. **Importance of Deep Sleep** - During deep sleep, the brain clears metabolic waste...
## 💡 Practical Advice
- Maintain regular sleep schedule
- Avoid blue light exposure before bed
- Keep room temperature at 18-20°C
Changelog
v1.0.0 (2024-02-06)
- Initial release
- Support for Huberman Lab and Nature Podcast
- Support for Markdown/JSON output formats
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python scripts with tools | High |
| Network Access | External API calls | High |
| File System Access | Read/write data | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Data handled securely | Medium |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access (../)
- Output does not expose sensitive information
- Prompt injection protections in place
- API requests use HTTPS only
- Input validated against allowed patterns
- API timeout and retry mechanisms implemented
- Output directory restricted to workspace
- Script execution in sandboxed environment
- Error messages sanitized (no internal paths exposed)
- Dependencies audited
- No exposure of internal service architecture
Prerequisites
# Python dependencies
pip install -r requirements.txt
Evaluation Criteria
Success Metrics
- Successfully executes main functionality
- Output meets quality standards
- Handles edge cases gracefully
- Performance is acceptable
Test Cases
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- Performance: Large dataset → Acceptable processing time
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Performance optimization
- Additional feature support