Validation plans and checks for laboratory assays.
Develops analytical validation studies, statistical findings, and documentation for human reviewers to assess fitness for purpose.
When to use it
Use when designing validation studies, evaluating validation data, verifying compendial procedures, transferring procedures, or documenting their fitness for purpose.
Give it an analytical validation request, with controlled data when evaluating results; it produces protocol documents and statistical outputs for human review.
Requires Python 3.11 or later; the scripts use only the standard library and require neither numpy nor scipy.
This skill
arXiv
Looks up citation metadata on arXiv