run_models
Use this skill whenever the user wants to run phenotype-prediction models, browse model cards, map model inputs/outputs, or choose an execution route for fMRI/sMRI based models. This is a model-entry orchestration skill: it routes requests to model-specific docs and delegates preprocessing to modality skills.
npx skills add BioTender-max/awesome-bio-agent-skills --skill run_models --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Run Models Skill (Model Entry Layer) ## Overview `run_models` is the NeuroClaw entry skill for model-level inference workflows. This skill is responsible for: - Maintaining a model registry (name, paper, source code, input/output, doc file path) - Selecting the correct model skill under `skills/<model-name>/SKILL.md` - Coordinating required data preparation before model execution - Delegating modality preprocessing to `fmri-skill` and `smri-skill` It supports both: - deep learning model routes for phenotype prediction - non-deep-learning statistical / unsupervised / classical machine-learning routes such as first-level and second-level task-fMRI GLM, resting-state ICA, resting-state DictLearning, disease classification with SVM, disease classification with SpaceNet, brain parcellation with K-means, brain parcellation with Hierarchical clustering, temporal filtering, and detrending This skill does not hardcode detailed install/run commands for each model. Those details are stored in model-specific markdown files. **Research use only.** --- ## Core Workflow (Never Bypassed) 1. Identify requested model and task (classification/regression phenotype prediction). 2. Locate the correspo
- Overview
- Core Workflow (Never Bypassed)
- Model Registry (Current)
- Cross-Cutting Tools (Apply Across Models)
- Citation Notes
- Harness-Aware Model Registration (Declarative + Testing + Drift Detection)
- Model Specification Format (Extended)
- Test Suite Requirements
- Drift Detection Protocol
- Model Card Template (Minimum Required Metadata)
- Delegation Rules
- BrainGNN Route
- BNT Route
- FM-APP Route
python -m pytest run_models/tests/test_{model_name}.py -v --harness-reportWhat does the run_models skill do?
Use this skill whenever the user wants to run phenotype-prediction models, browse model cards, map model inputs/outputs, or choose an execution route for fMRI/sMRI based models. This is a model-entry orchestration skill: it routes requests to model-specific docs and delegates preprocessing to modality skills.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill run_models --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.