Individual skill
compartmental-models
Infectious disease modeling with SIR/SEIR models — R0, fitting, forecasting, and intervention scenarios.
skills/compartmental-models/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 54
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
## Overview
compartmental-models covers the workhorse models of infectious-disease dynamics: SIR, SEIR, and
their extensions. It focuses on building models that inform decisions — estimating R0, projecting
under interventions, and communicating uncertainty — rather than on mathematical novelty. A model
is a decision tool; its value is measured in better decisions, not in fit statistics.
## When to use
- Estimating R0/Rt from early outbreak data.
- Projecting epidemic trajectories under different intervention scenarios.
- Evaluating interventions: vaccination coverage, NPIs, test-and-trace.
- Understanding herd-immunity thresholds and final-size relations.
- Fitting models to case/hospitalization data with proper uncertainty.