arboreto-grn-inference

FridrichMethod/awesome-skills

SkillLoads cleanly

GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save…

Scores
out of 100 · grade B+

2026-08-18

Works

40% of the score

100/100

Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

94/100

no commits in the last 12 weeks
no license file

Adopted

20% of the score

16/100

13 stars on the source repo.

Documented

15% of the score

81/100

2,310 words with worked examples.

Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit 2 days ago.

Install

npx skills add FridrichMethod/awesome-skills/arboreto-grn-inference

What the check found

Every finding on this listing, and what each one means for whether it loads.
Finding	What it means
No license	The repository ships no license file, so the reuse terms are unclear.

What it says it does

GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save network. Dask-parallelized to single-cell scale. Core SCENIC component.

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-16.

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