competitor-trial-monitor
Monitor competitor clinical trial progress and alert on market risks
66
1.88x
Quality
48%
Does it follow best practices?
Impact
98%
1.88xAverage score across 3 eval scenarios
Securityby
Advisory
Suggest reviewing before use
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npx tessl skill review --optimize ./scientific-skills/Evidence insights/competitor-trial-monitor/SKILL.mdCompetitor 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 scanView Monitoring List
python scripts/main.py listRemove Monitoring Target
python scripts/main.py remove --nct NCT05108922Generate Risk Report
python scripts/main.py report --days 30Data Storage
Monitoring configuration and data stored in ~/.openclaw/competitor-trial-monitor/:
watchlist.json- Monitoring listhistory/- Historical snapshotsalerts/- 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-dateutilConfiguration 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
- 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
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- Last updated
- Created
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