bio-genome-language-modeling — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited bio-genome-language-modeling (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
用于 Evo2 和基因组长序列建模。传统 variant calling 或 genome assembly 不进入本 skill，除非用户明确要用 Evo2 做建模或推理。
examples/biosciences/evo2/README.mdexamples/biosciences/evo2/infer.pyexamples/biosciences/evo2/train_one_node.pyexamples/biosciences/evo2/train_slurm.pyexamples/biosciences/evo2/tools/data_processsrc/onescience/models/evo2tokens、position_ids、labels、loss_mask。bio_task_family: onescience-bio-model
onescience_model_family: Evo2
task_mode: inference | training | finetuning | checkpoint-conversion | data-preprocessing
input_protocol:
sequence_length:
tokenizer:
checkpoint_or_weight_source:
parallel_strategy:
source_anchors:
coder_assets_to_read:
execution_entry: onescience-skill -> onescience-coder~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.