Skill audit report
Review 3DGS implementation code for correctness, performance bugs, and best practices. Covers CUDA kernels, rendering pipeline, training loop, loss functions. Detects 104 known bug patterns including compression, forensics, SLAM, feed-forward, and method-specific failure patterns. Use when: reviewing 3DGS/Gaussian Splatting CUDA code, debugging rendering artifacts, optimizing 3DGS training pipelines, checking loss function implementations, 代码审查/3DGS调试/性能优化.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
149 GitHub stars
Stars/forks activity
WARN57
149 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-code-reviewer
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-code-reviewer
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-code-reviewer
Repository
88
https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-code-reviewer
License
86
Apache-2.0
Maintenance
100
8d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
57
149 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
149 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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