lifesciences-reporting

Format Fuzzy-to-Fact pipeline outputs into template-driven life sciences reports with evidence grading.

Updated Feb 5, 2026
One-click install
npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-reporting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lifesciences-reporting
Source: https://github.com/donbr/lifesciences-deepagents/tree/main/.claude/skills/lifesciences-reporting
Command: npx skills add https://github.com/donbr/lifesciences-deepagents --skill lifesciences-reporting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formats deterministic outputs from the Fuzzy-to-Fact pipeline into polished, template-driven life sciences reports with claim-level evidence grading and standardized citations.

Core Features & Use Cases

  • Applies domain-specific templates to structure reports from Phases 1-5 outputs.
  • Grades evidence at the claim level using the established Evidence Grading System.
  • Provides precise source attribution and provenance for all findings.
  • Supports multi-template combinations (e.g., Mechanism Elucidation + Clinical Landscape) and generates sections such as Resolved Entities and Evidence Assessment.
  • Grounding enforcement: all claims trace back to specific tool calls from Phases 1-5; no new entities are introduced.

Quick Start

Format the latest Phase 1-5 pipeline output into a template-driven report with citations.

Frequently Asked Questions about lifesciences-reporting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert life sciences pipeline outputs into structured reports with citations?

Format life sciences pipeline outputs into structured reports by applying domain-specific templates that enforce claim-level evidence grading and standardized citations across all processing phases.

Can I trace report claims back to specific pipeline tool calls for evidence grounding?

Yes, evidence grounding is enforced by tracing every claim in the report back to specific pipeline tool calls, preventing the introduction of new entities or data beyond the original outputs.

How does claim-level evidence grading work in life sciences reporting?

Claim-level evidence grading evaluates individual findings using an established Evidence Grading System, assigning standardized grades to each assertion derived from pipeline outputs.

What is the best way to structure a multi-template life sciences report from pipeline phases?

Combine multiple domain-specific templates such as Mechanism Elucidation and Clinical Landscape to generate sections including Resolved Entities and Evidence Assessment from pipeline outputs.

Do I need complete Phase 1-5 pipeline outputs to generate a formatted life sciences report?

Yes, the reporting process requires deterministic outputs from Phases 1-5 of the pipeline to apply templates, grade evidence, and generate citations with full provenance.

Why does my life sciences report introduce entities not present in the pipeline output?

Proper grounding enforcement prevents introducing new entities or data beyond pipeline results, ensuring all claims trace exclusively to specific tool calls from the completed phases.