All skills & plugins / Scientific Agent Skills (K-Dense)

torch-geometric

Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.

Type: Skill by K-Dense Inc.
Catalog: Scientific Agent Skills (K-Dense)
Source: K-Dense-AI/scientific-agent-skills/skills/torch-geometric (8 files scanned)
Install and details: Agent Skills Index entry
License: MIT license (SKILL.md frontmatter)
Signals: none found

Pre-approved tools

No allowed-tools or tools list in its SKILL.md, command or agent files, so the agent asks before using tools as usual.

Hooks

No hooks.

MCP servers and apps

None.

Bundled code

No code files, only instructions and other assets.

Credentials referenced

No key, token or secret environment variable found in code or MCP config.

Static scan of commit 5f2bc03 on 2026-10-27. Signals are patterns found in the files, not a verdict: a network call can be the whole point of a skill. Read the linked lines before you decide. How the scan works.