adapt-lightx2v-warmup

adapt-lightx2v-warmup is an MLOps & model serving skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates adapt-lightx2v-warmup D (61/100) and it passed the safety scan; the rating is based on static analysis only.

为尚无 warmup 的 LightX2V 模型或新任务设计、实现、审查和验证 `--warmup`。先核对普通推理、CPU offload model/block/phase 和 lazy-load block/phase 的原生与 warmup 支持范围，再复用 Wan/Qwen-Image/LTX2/Lingbot-Video 经验覆盖 compile、MoE、多阶段或并行路径，检查 Encoder、DiT、scheduler 和 VAE decode 是否真正预热，并排查正式 Step 1 冷启动与请求状态污染。

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
2,806

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubModelTC/LightX2V

Our review

Architecture
83 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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