Volcano Plot Labeler

Analyze data with `volcano-plot-labeler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

This skill appears coherent and self-contained, but check a few things before running: 1) Run the recommended smoke check: python -m py_compile scripts/main.py and inspect scripts/main.py yourself to confirm behavior. 2) Install dependencies in a sandboxed venv: pip install -r requirements.txt (note SKILL.md also mentions scipy; install only what you need). 3) Be aware the examples assume importable package semantics but only scripts/main.py is provided — run the script directly or adapt for import. 4) Provide only non-sensitive sample data for initial runs (the script reads CSVs and writes image files). If you need higher assurance, paste the full remainder of scripts/main.py for a complete review (the provided file preview was truncated).

Type: OpenClaw Skill Name: volcano-plot-labeler-1 Version: 1.0.0 The volcano-plot-labeler skill is a legitimate data visualization tool designed to generate scientific plots with automated label positioning. The core logic in `scripts/main.py` uses standard libraries (pandas, matplotlib, numpy) to process differential expression data and implements a force-directed repulsion algorithm for text labels. The instructions in `SKILL.md` are well-structured, focusing on reproducible workflows and input validation without any signs of prompt injection or malicious intent. No suspicious network activity, file system abuse, or obfuscation was detected.