sim-plot
sim-plot is a Scientific data analysis & plotting skill for AI agents, published by deanyou in the virtuoso-cli repository on GitHub. Skillspace rates sim-plot D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Visualize Virtuoso simulation results as matplotlib charts. Use after: (1) sim sweep — line plot of measurements vs swept variable, (2) sim corner — grouped bar chart across PVT corners, (3) sim measure — horizontal bar of scalar measurements, (4) AC/Bode plot from PSF getData results (magnitude + phase), (5) process_data lookup tables — gm/Id curves for all L values. Auto-detects chart type from JSON structure. Saves PNG via plot_sim.py.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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