lifesciences-reporting-quality-review
CommunityStructured quality review for life-sciences reports.
Education & Research#bioinformatics#quality-assurance#knowledge-graphs#report-review#evaluation-framework#evidence-tracking#curie-resolution
Authordonbr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill provides a structured framework to evaluate Fuzzy-to-Fact life sciences reports against protocol requirements, distinguishing presentation failures from protocol failures, and applying consistent standards for paraphrasing vs hallucination.
Core Features & Use Cases
- Phase-driven evaluation across 5 phases: Context Gathering, Template Identification, Template-specific Criteria, Evidence Verification, and Failure Distinction to ensure rigorous CQ review.
- Template-aware scoring and detailed guidance for distinguishing protocol vs presentation issues, with structured outputs including dimension scores, detailed findings, and recommendations.
- Use cases include quality assurance for research dashboards, verifying consistency of knowledge-graph provenance, and auditing reports generated by multi-agent life sciences pipelines.
Quick Start
Provide a target report markdown file and its associated knowledge-graph JSON to initiate a comprehensive CQ review.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lifesciences-reporting-quality-review Download link: https://github.com/donbr/lifesciences-deepagents/archive/main.zip#lifesciences-reporting-quality-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.