af2-folding-inference — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited af2-folding-inference (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 AF2 风格蛋白结构预测：AlphaFold JAX/Haiku 或 OpenFold PyTorch。若输入含蛋白、核酸、配体多分子复合物并使用 AF3 JSON，读取 ../af3-protenix-complex-inference/SKILL.md。
{onescience_path}/onescience/examples/biosciences/_manifests/model_requests/af2_inference_request.yaml：FASTA、preset、数据库、参数和输出模板。references/af2_openfold_execution.md：AlphaFold 和 OpenFold 的入口、协议差异、preflight 和输出检查。{onescience_path}/onescience/examples/biosciences/_manifests/tools/validate_bio_inference_manifest.py、{onescience_path}/onescience/examples/biosciences/_manifests/tools/check_inference_outputs.py。AlphaFold；PyTorch/OpenFold 权重或 OpenFold pipeline 用 OpenFold。onescience-coder/assets/models/alphafold.md 或 openfold.md。{onescience_path}/onescience/examples/biosciences/alphafold/run_alphafold.py{onescience_path}/onescience/examples/biosciences/openfold/run_pretrained_openfold.pybio_task_family: bio-inference
selected_concrete_skill: af2-folding-inference
model_family: AlphaFold_or_OpenFold
inference_mode: monomer_or_multimer
input_protocol: FASTA_plus_MSA_template_pipeline
entrypoint:
checkpoint_or_model_dir:
database_preset:
model_preset:
preflight_checks:
expected_outputs:
output_validation_plan:
execution_entry:~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.