Smart Journal Monitor (RSS+AI)

Personalized research digest from top journals.

Use Cases

• Staying current with field developments
• Finding high-impact papers efficiently
• Competitive intelligence

Parameters

Parameter	Type	Required	Default	Description
keywords	list[str]	Yes	-	Research topics to monitor
journals	list[str]	No	["Nature", "Science", "Cell", "NEJM", "Lancet"]	Target journals to monitor
alert_frequency	str	No	"daily"	Digest frequency: "daily" or "weekly"

Returns

• Curated article list with impact scores
• One-sentence key takeaways
• Relevance ranking

Example

Input: Keywords=["immunotherapy", "checkpoint inhibitor"], frequency=daily Output: 3-5 most relevant breakthrough papers with summaries

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access	No external API calls	Low
File System Access	Read input files, write output files	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Output files saved to workspace	Low

Security Checklist

• No hardcoded credentials or API keys
• No unauthorized file system access (../)
• Output does not expose sensitive information
• Prompt injection protections in place
• Input file paths validated (no ../ traversal)
• Output directory restricted to workspace
• Script execution in sandboxed environment
• Error messages sanitized (no stack traces exposed)
• Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

• Successfully executes main functionality
• Output meets quality standards
• Handles edge cases gracefully
• Performance is acceptable

Test Cases

1. Basic Functionality: Standard input → Expected output
2. Edge Case: Invalid input → Graceful error handling
3. 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