One-click install
npx skills add https://github.com/OpenSourcePharmaFoundation/ospf-ayurveda-kg --skill disease-modeler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: disease-modeler
Source: https://github.com/OpenSourcePharmaFoundation/ospf-ayurveda-kg/tree/main/.claude/skills/disease-modeler
Command: npx skills add https://github.com/OpenSourcePharmaFoundation/ospf-ayurveda-kg --skill disease-modeler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you evaluate whether a proposed intervention for oral mucositis matches the disease’s actual pathobiology across its progression phases, so you don’t get misled by generic “anti-inflammatory” or “wound healing” labels.

Core Features & Use Cases

  • OM phase mapping: Assign a candidate’s mechanism to the Sonis 5-phase model (Initiation through Healing) and judge phase-appropriate relevance and strength.
  • Therapeutic gap analysis: Identify which OM phases are well-covered versus underserved by a set of candidates, and infer what kind of mechanism would fill the biggest gap.
  • Disease relevance scoring: Assess timing (prevention vs acute treatment vs healing support), conflict with underlying cancer therapy, and whether the mechanism is truly tied to OM biology.
  • Patient context assessment: Evaluate suitability by OM subtype (radiation, chemo, transplant, targeted therapy, immunotherapy) and practical delivery constraints.

Quick Start

Use the disease-modeler skill to assess a candidate mechanism against the OM phase model and produce a structured phase-by-phase rationale for the right timing and patient context.

Frequently Asked Questions about disease-modeler

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

FAQPage Schema
How do I map an oral mucositis intervention to the Sonis five-phase disease model?

To map an oral mucositis intervention to the Sonis disease model, you provide phase-specific biology inputs and mechanism-direction data. The tool then assigns the candidate mechanism across the five OM phases, from Initiation through Healing, to evaluate its pathobiological relevance.

What is the best way to validate if a drug candidate actually targets oral mucositis biology instead of generic symptoms?

Validating an oral mucositis drug candidate requires assessing its mechanism against the actual OM pathobiology rather than generic symptom labels. The tool applies disease relevance scoring to determine if the mechanism is truly tied to OM biology across its progression phases.

Does disease modeling for oral mucositis check if a candidate mechanism conflicts with underlying cancer therapy?

Yes, oral mucositis disease modeling applies cancer-therapy compatibility guardrails during mechanism validation. This ensures proposed interventions, such as those involving p53 inhibition, do not conflict with the patient's underlying radiation, chemo, or transplant cancer treatments.

How do I identify therapeutic gaps in oral mucositis prevention and treatment across different OM subtypes?

To identify therapeutic gaps in oral mucositis treatment, you evaluate a set of candidates against the phase model. The tool highlights which OM phases are well-covered versus underserved and infers the mechanism type needed to fill the biggest gap for specific OM subtypes.

Can I assess oral mucositis drug repurposing candidates for radiation versus chemo patient contexts?

Yes, you can assess oral mucositis drug repurposing candidates by patient context. The tool evaluates suitability across OM subtypes, including radiation, chemo, transplant, targeted therapy, and immunotherapy, while factoring in practical delivery constraints and timing.

What inputs do I need to evaluate oral mucositis target validation using disease phase mapping?

Evaluating oral mucositis target validation requires phase-specific biology inputs and mechanism-direction validation data. These inputs allow the tool to produce a structured phase-mapping assessment in a standardized OM assessment format.