Monitor competitor clinical trial progress and alert on market risks
66
48%
Does it follow best practices?
Impact
98%
1.88xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Evidence insights/competitor-trial-monitor/SKILL.mdCLI tool implementation
Entry point location
100%
100%
Data directory path
0%
100%
Watchlist file
100%
100%
History subdirectory
0%
100%
Alerts subdirectory
0%
100%
Config file location
0%
100%
Config keys
0%
100%
NCT parameter required
0%
100%
Optional add metadata params
0%
100%
Report days parameter
0%
100%
ClinicalTrials.gov API v2
100%
100%
Critical risk level
0%
100%
High risk level
0%
100%
Medium risk level
25%
0%
Without context: $0.6982 · 2m 58s · 25 turns · 30 in / 11,908 out tokens
With context: $0.8418 · 2m 11s · 41 turns · 5,700 in / 7,252 out tokens
Monitoring workflow automation
Script entry point
100%
100%
NCT flag usage
100%
100%
Company flag usage
100%
100%
Drug flag usage
100%
100%
Indication flag usage
100%
100%
Scan subcommand
100%
100%
Report subcommand
100%
100%
Report days flag
100%
100%
Without context: $0.4436 · 1m 49s · 16 turns · 21 in / 7,186 out tokens
With context: $0.4810 · 1m 37s · 21 turns · 25 in / 4,730 out tokens
System configuration and deployment
Config file path
0%
100%
alert_channels key
0%
100%
Feishu channel
0%
100%
scan_interval_hours key
100%
100%
Scan interval value
100%
100%
risk_threshold key
0%
100%
Risk threshold value
0%
100%
Install requests
100%
100%
Install python-dateutil
0%
100%
Without context: $0.3331 · 1m 30s · 20 turns · 24 in / 4,629 out tokens
With context: $0.3689 · 1m 20s · 17 turns · 274 in / 4,221 out tokens
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Table of Contents
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