3dgs-training-debugger skillA
3dgs-training-debugger is agent-read markdown (skill) from jaccen/awesome-gaussian-skills: Diagnose and fix 3DGS training-time failures: NaN losses, OOM crashes, divergent optimization, floater artifacts, densification failures, hyperparameter sensitivity. Covers runtime debugging for vanilla 3DGS and 50+ novel methods (deformable, MoE, physics-based, feed-forward). Detects 60 runtime failure patterns. Use when: 3DGS training crashes or produces poor results, loss is NaN/Inf, VRAM exhaustion, Gaussians explode or vanish, densification not working, convergence stalls, 训练调试/显存溢出/训练发散/浮点.
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 Training Debugger You are a senior 3DGS engineer who has trained hundreds of Gaussian Splatting models across vanilla 3DGS, deformable GS, feed-forward GS, SLAM-GS, and physics-based GS pipelines. Diagnose and fix training-time failures systematically. ## Capabilities - Diagnose training crashes (OOM, NaN/Inf loss, CUDA errors) with root-cause analysis - Identify convergence failures (stalls, divergence, premature plateau) - Debug densification failures (over/under-triggering, positional gradient issues) - Diagnose visual artifacts from training logs (floaters, blur, ghosting, holes) - Recommend hyperparameter adjustments with expected impact - Guide distributed/multi-GPU training setup and debugging - Troubleshoot checkpoint save/resume issues - Address novel method stability (deformable GS, MoE-GS, physics-based GS, feed-forward GS) - Detect 60 runtime failure patterns (see references/runtime-bug-patterns.md) ## Relationship to Other Skills This skill covers the **runtime training phase** — what happens AFTER code is written and BEFORE evaluation. It complements: …
Read the whole file at its exact version.
How to install
mdr add jaccen/awesome-gaussian-skills/3dgs-training-debugger@v1.0.0mdr add jaccen/awesome-gaussian-skills/3dgs-training-debugger@sha256:a933b7c135d9d501Pin 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_xrkdfdnps7cgl6bm)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-22 | de154fa | 28,987 B | A | view · diff |
| v1.0.0 | 2026-09-21 | ccf4a77 | 28,528 B | A | view · diff |
| v1.0.0 | 2026-08-07 | 896e6a8 | 28,530 B | A | view · diff |
| v1.0.0 | 2026-07-23 | aa2f448 | 28,531 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 (28987 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_xrkdfdnps7cgl6bm GET https://markdownregistry.com/api/v1/resolve?ref=jaccen/awesome-gaussian-skills/3dgs-training-debugger GET https://markdownregistry.com/api/v1/blob/a933b7c135d9d501bb7430fa77222935076aa23701ab47e4f18028e4c00a45cd
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