CtrlK
BlogDocsLog inGet started
Tessl Logo

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%

1.88x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Evidence insights/competitor-trial-monitor/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

96%

70%

Clinical Trial Competitive Intelligence Tool

CLI tool implementation

Criteria
Without context
With context

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

100%

Oncology Competitor Trial Watchlist Setup

Monitoring workflow automation

Criteria
Without context
With context

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

100%

70%

Competitor Trial Monitoring System Deployment

System configuration and deployment

Criteria
Without context
With context

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

Repository
aipoch/medical-research-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.