torch-geometric SKILL.md skillA
torch-geometric from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/torch-geometric@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/torch-geometric/SKILL.md- Versions recorded
- 6
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 22,474 bytes
- Repository stars
- 56,497
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# PyTorch Geometric (PyG) PyG is the standard library for Graph Neural Networks built on PyTorch. It provides data structures for graphs, 60+ GNN layer implementations, scalable mini-batch training, and support for heterogeneous graphs. ## Installation Reviewed released **torch-geometric 2.8.0.post1** (2026-10-01); CPU examples tested with **Python 3.13 / PyTorch 2.14.1**. Rolling `latest` docs identify 2.9.0; check the installed release before adopting new APIs. PyG 2.8 requires PyTorch 2.9+; its original release table covers 2.9–2.12. Our 2.14.1 core tests do not establish every extension/backend combination. ```bash # Install the PyTorch build for your platform from https://pytorch.org/get-started/locally/ uv pip install torch==2.14.1 uv pip install torch-geometric==2.8.0.post1 python -c "import torch, torch_geometric; print(torch.__version__, torch.version.cuda, torch_geometric.__version__)" ``` …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/torch-geometric@sha256:89805e17cdbc64edThe line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5dficneyl2zu53xp)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 22,474 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 19,656 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 19,352 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 18,394 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 18,399 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 17,086 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (22474 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5dficneyl2zu53xp GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/torch-geometric GET https://markdownregistry.com/api/v1/blob/89805e17cdbc64ed01426548442b3aa1bda8bcfdd4f9528f5c8dd6e0ea813c96
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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