Individual skill
agsy-data-and-model-evaluation
Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs. simulated, fit statistics), sensitivity and uncertainty analysis, and trade-off / scenario analysis across the system. Guides evaluation norms; it does not fabricate results or run the model.
Agricultural-Systems-Skills/skills/agsy-data-and-model-evaluation/SKILL.md
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- Last checked
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# Data & Model Evaluation (agsy-data-and-model-evaluation)
A model is only as credible as its **evaluation**. AgSy reviewers are systems-modelling experts: they
want to see the model tested against **independent** data, its **sensitivity and uncertainty**
characterized, and the **trade-offs** the system exhibits — not a single tuned run presented as truth.
Model description and choice live in `agsy-systems-framing-and-modeling`; this skill covers testing and
reporting.
## When to trigger
- Reporting how well the model reproduces observations
- Running sensitivity / uncertainty analysis
- Building scenario comparisons and trade-off analyses
- A reviewer asked for validation, sensitivity, uncertainty, or alternative scenarios