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🦀 ClawHub

Competitor Trial Monitor

by @aipoch-ai

Monitor competitor clinical trial progress and alert on market risks

Versionv0.1.0

Downloads470

#clawhub

View on ClawHub →

TERMINAL

clawhub install competitor-trial-monitor

📖 About This Skill

name: competitor-trial-monitor description: Monitor competitor clinical trial progress and alert on market risks version: 1.0.0 category: Pharma tags: [] author: AIPOCH license: MIT status: Draft risk_level: High skill_type: Hybrid (Tool/Script + Network/API) owner: AIPOCH reviewer: '' last_updated: '2026-02-06'

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

💡 Examples