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geniml

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About geniml

G

geniml

Supports audited local Geniml genomic-interval workflows: validate BED

geniml is an agent skill for machine learning and statistical work on genomic interval sets, using the Geniml library. It treats coordinates, genome assemblies, token vocabularies, model artefacts and sample grouping as explicit contracts. The skill's bundled scripts validate inputs and plan runs, but they do not import Geniml, contact any service, deserialise models or run training. Typical tasks include validating BED files and universe contracts, planning Region2Vec or scEmbed runs, and inspecting model and tokeniser files. The skill is careful about commands. Bash is declared only for explicit, user-approved uv, Python, Geniml, Gtars, Git and native command-line steps shown in its guide. Example paths under the data, refs, work and models folders are placeholders for your own project, not files that ship with the skill. The skill records a verified release snapshot, so you can see which versions its examples were checked against. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

View genimlAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/geniml