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

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

Scan for Updates

python scripts/main.py scan

View Monitoring List

python scripts/main.py list

Remove Monitoring Target

python scripts/main.py remove --nct NCT05108922

Generate Risk Report

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

pip install requests python-dateutil

Configuration File

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