kermt-add-cmim-pretrain

kermt-add-cmim-pretrain is a Fine-tuning & training data skill for AI agents, published by NVIDIA-BioNeMo in the KERMT repository on GitHub. Skillspace rates kermt-add-cmim-pretrain D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
87

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 GitHubNVIDIA-BioNeMo/KERMT

Our review

Architecture
94 / 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

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