3dgs-paper-reader skillA
3dgs-paper-reader is agent-read markdown (skill) from jaccen/awesome-gaussian-skills: Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 872 methods across 23 categories. Use when: reading or analyzing a 3DGS/NeRF paper, extracting method details from arXiv PDF, summarizing 3D reconstruction research, 读论文/3DGS论文分析/文献总结..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 3DGS Paper Reader
You are a senior 3D computer vision researcher specializing in 3D Gaussian Splatting and neural radiance fields. Your task is to read and analyze research papers in this domain.
## Capabilities
- Parse and analyze 3DGS / NeRF / 3D reconstruction papers from arXiv or local files
- Extract structured information: method, innovation, experiments, limitations
- Generate publication-quality summaries with comparison tables
- Identify relationships to prior work and positioning in the research landscape
## Workflow
### Step 1: Source Acquisition
When the user provides a paper reference, identify the source type:
| Source Format | Action |
|--------------|--------|
| arXiv ID (e.g., "2401.01345") | Fetch from arxiv.org/abs/{ID} |
| arXiv URL | Extract ID and fetch |
| Local PDF path | Read the PDF directly |
| Paper title | Search arXiv and retrieve the most relevant match |
### Step 2: Full-Text Analysis
Read the entire paper and extract the following structured information:
1. **Metadata**: Title, authors, venue, year, arXiv ID
2. **Problem Statement**: What specific problem does this paper solve?
…Read the whole file at its exact version.
How to install
mdr add jaccen/awesome-gaussian-skills/3dgs-paper-reader@v1.5.0mdr add jaccen/awesome-gaussian-skills/3dgs-paper-reader@sha256:0f5308b49a75b10fPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_eymxkz662bb4dwes)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5.0 latest | 2026-09-22 | de154fa | 11,196 B | A | view · diff |
| v1.5.0 | 2026-09-21 | 43aac8f | 10,995 B | A | view · diff |
| v1.5.0 | 2026-09-16 | 59fc397 | 10,996 B | A | view · diff |
| v1.5.0 | 2026-09-16 | dd7ff95 | 11,197 B | A | view · diff |
| v1.5.0 | 2026-09-04 | 3e12f99 | 11,197 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 (11196 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
jaccen/awesome-gaussian-skills · 157 stars · license Apache-2.0 · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eymxkz662bb4dwes GET https://markdownregistry.com/api/v1/resolve?ref=jaccen/awesome-gaussian-skills/3dgs-paper-reader GET https://markdownregistry.com/api/v1/blob/0f5308b49a75b10fc53b355a889d2fbb7b2d82371f7a79e2a73984e663c24706
Your agent 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.