jinko-trial
Create, sanity-check, run, poll, download results, and compute plot data for Jinkō in-silico trials via the jinko-sdk. Use this skill whenever the user wants to set up a trial from a computational model and simple output set, optionally attach a vpop, protocol, data table, or advanced scoring output set, launch a trial, wait for completion, inspect completed trials, download TimeSeries and Scalar results as pandas DataFrames, or get calculated plot data (scalar distributions, time-series quantile bands, survival curves, contribution/tornado analysis, per-patient scatter values), filtered or grouped by descriptors, to draw their own plots. Do not use this skill for model editing, vpop creation, protocol design authoring, data-table upload, output-set creation/editing, or configuring a stored TrialVisualization.
- License
- MIT
- Compatibility
- Check set-up with the `jinko-sdk-setup` skill. Creating/running trials requires write and run permissions in the Jinkō project. Result DataFrame conversion requires pandas; raw ZIP/CSV download works without pandas. Drawing plots requires matplotlib and pandas in the active Python environment.
Pinned to revision f5510623cac3, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/jinko-trial/SKILL.md
- skills/jinko-trial/agents/openai.yaml
- skills/jinko-trial/evals/evals.json
- skills/jinko-trial/references/trial-plot-data.md
- skills/jinko-trial/references/trial-plots.md
- skills/jinko-trial/references/trial-results.md
- skills/jinko-trial/references/trial-setup.md
Every link opens the file at its source, pinned to the revision this page describes.