offline-packing-env-vars

offline-packing-env-vars is a Model training & evaluation skill for AI agents, published by EvolvingLMMs-Lab in the LLaVA-OneVision-2 repository on GitHub. Skillspace rates offline-packing-env-vars D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Bilingual guide for the OFFLINE_PACKING_BMR and OFFLINE_PACKED_DATA environment variables that control LLaVA-OneVision2 training-side packing — what each gate does, why both must be enabled together, MBS=1 requirement, and the dead OFFLINE_PACKING_VQA branch

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
1,138

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

View source on GitHubEvolvingLMMs-Lab/LLaVA-OneVision-2

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked 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

Better-rated skills in Model training & evaluation

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.