Awesome-Gaussian-Skills: 900 arXiv-verified 3DGS methods · 15 AI agent skills · MCP server · open ebook

by jaccen · MCP Server · ★ 169

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Awesome-Gaussian-Skills

git clone https://github.com/jaccen/Awesome-Gaussian-Skills.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

3d-gaussian-splatting3dgsai-agentai-skillsarxivclaude-codecomputer-graphicscvprdeepseek-harnessdsh

Quick Facts

Stars169
Forks13
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score67/100
Open Issues1
Last Updated2026-10-25
Created2026-04-28
Platformsclaude-code, mcp, node
Est. Tokens~25k

About Awesome-Gaussian-Skills

Awesome Gaussian Skills The Most Comprehensive 3DGS Paper Catalog — 660+ Methods, 25 Categories, Interactive Explorer You shouldn't search 20 different repos for 3DGS papers. This is the only one you need — plus AI-powered tools that no other list has. English | 中文 What's New (June 2026) Latest update (Jun 5): 630+ → 660+ methods, 25 categories, 97+ bug patterns.

Compatible Skills

These tools work well together with Awesome-Gaussian-Skills for enhanced workflows:

  • ai-marketing-claude-code-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • verify — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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