proteinmpnn-inference — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited proteinmpnn-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.
用于给已有骨架设计或打分序列。它不是结构预测模型。若上游骨架来自 RFdiffusion，先确认 PDB/链/残基编号，再进入本 skill。
{onescience_path}/onescience/examples/biosciences/_manifests/model_requests/proteinmpnn_request.yaml：PDB、链、固定位置、采样温度、权重和输出模板。references/proteinmpnn_execution.md：helper JSON、CA-only、score-only 和约束检查。onescience-coder/assets/models/proteinmpnn.md。{onescience_path}/onescience/examples/biosciences/ProteinMPNN/protein_mpnn_run.py。--sampling_temp、--num_seq_per_target、--batch_size、--seed。chain_M 与 padding mask 混用。--ca_only 和 CA-only 输入。~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.