networkx
networkx is an Exploratory analysis & notebooks skill for AI agents, published by K-Dense-AI in the claude-scientific-skills repository on GitHub. Skillspace rates networkx C (72/100) and it passed the safety scan; a judge model has also reviewed it.
Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #4 of 6 in the judged category final for Exploratory analysis & notebooks.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Exploratory analysis & notebooks.
- Trigger
80 80 - Instructions
78 78 - Specificity
82 82 - Safety
88 88 - Disclosure
80 80 - Maintenance
78 78
Solid library reference with version-specific API removal notes, split cleanly into per-topic reference files.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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