Volcano Plot Labeler

Automatically label top significant genes in volcano plots with repulsion algorithm

This skill appears to do what it says: it reads a user-provided differential-expression CSV, computes significance, applies a repulsion algorithm, and writes labeled volcano plots. Before installing or running: (1) run it in a virtualenv or sandbox to isolate pip-installed packages; (2) verify the input file path is trusted (the script reads files you point it at — avoid running it on sensitive system files); (3) note the minor mismatch where SKILL.md suggests installing 'scipy' but requirements.txt omits it (install scipy only if you need it); (4) inspect scripts/main.py yourself if you want extra assurance (it is included and contains the plotting and repulsion logic); and (5) because it executes local code, prefer running it on non-sensitive data or in an environment with limited permissions.

Type: OpenClaw Skill Name: volcano-plot-labeler Version: 0.1.0 The volcano-plot-labeler skill is a standard data visualization tool designed to generate scientific plots from genomic data. The core logic in scripts/main.py uses well-known libraries (pandas, matplotlib, numpy) to implement a force-directed repulsion algorithm for label placement, with no evidence of network activity, credential theft, or unauthorized file system access beyond reading input data and saving the resulting plot.