add-training-support

add-training-support is a Fine-tuning & training data skill for AI agents, published by civitai in the civitai repository on GitHub. Skillspace rates add-training-support D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Wire an existing ecosystem into the LoRA training system so it appears as a trainable base model in the training form. Adds the base-model entry, schema enums, orchestrator validation, feature flag, and per-ecosystem default params. Use when a model family (already in basemodel.constants.ts) needs training support — e.g. AI-Toolkit ecosystems like Anima, HiDream, Boogu. Always checks @civitai/client for the ecosystem's training input type first.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
7,185

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.

Our review

Architecture
99 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Edits Civitai's own training subsystem files, enums and constants

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
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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