Competitor Trial Monitor

Monitor competitor clinical trial progress and alert on market risks

Competitor Trial Monitor (ID: 178)

Monitor competitor clinical trial progress and alert on market risks.

Features

• Monitor changes in clinical trial status for specified competitors
• Track key milestones: enrollment completion, data unblinding, final results publication
• Alert on potential market competition risks

Data Sources

• ClinicalTrials.gov - US Clinical Trials Registry
• EU Clinical Trials Register - EU Clinical Trials Registry
• WHO ICTRP - International Clinical Trials Registry Platform

Parameters

Commands

Command	Description	Parameters
add	Add trial to watchlist	--nct (required), --company, --drug, --indication
list	List all monitored trials	None
remove	Remove trial from watchlist	--nct (required)
scan	Scan for updates	None
report	Generate risk report	--days (default: 30)

Command Parameters

add command:

Parameter	Type	Default	Required	Description
--nct	string	-	Yes	ClinicalTrials.gov NCT ID
--company	string	Unknown	No	Competitor company name
--drug	string	Unknown	No	Drug name
--indication	string	Unknown	No	Indication/disease

remove command:

Parameter	Type	Default	Required	Description
--nct	string	-	Yes	NCT ID to remove

report command:

Parameter	Type	Default	Required	Description
--days	int	30	No	Report time range in days

Usage

Add Monitoring Target

bash

python scripts/main.py add --nct NCT05108922 --company "Pfizer" --drug "PF-07321332" --indication "COVID-19"

Scan for Updates

bash

python scripts/main.py scan

View Monitoring List

bash

python scripts/main.py list

Remove Monitoring Target

bash

python scripts/main.py remove --nct NCT05108922

Generate Risk Report

bash

python scripts/main.py report --days 30

Data Storage

Monitoring configuration and data stored in ~/.openclaw/competitor-trial-monitor/:

• watchlist.json - Monitoring list
• history/ - Historical snapshots
• alerts/ - Alert records

Alert Rules

Event	Risk Level	Description
Enrollment Completion	🟡 Medium	Competitor enters next phase
Data Unblinding	🔴 High	Results about to be announced
Results Publication	🔴 High	Direct impact on market competition
Regulatory Submission	🔴 High	Marketing application in progress
Approval Granted	🔴 Critical	Direct competition begins

Dependencies

bash

pip install requests python-dateutil

Configuration File

~/.openclaw/competitor-trial-monitor/config.json:

json

{
  "alert_channels": ["feishu"],
  "scan_interval_hours": 24,
  "risk_threshold": "medium"
}

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

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