geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
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Low-risk findings worth noting
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill references external GitHub repositories for source installation (`https://github.com/databio/geniml.git`) and external tool setup (`https://github.com/facebookresearch/StarSpace`), but these are common reputable unofficial/third-party scientific package installations and tools rather than weak or suspicious runtime control dependencies fetching unverified code/instructions into the agent operational flow.
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- synthetic-sciences/openscience
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543b17f
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- Security analysis
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