self / torch / import — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited self / torch / import (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.
SOP for PyTorch setup involving specific input splitting logic and standard library imports.
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) 将 4输入分开，构建新的相同模态结合的2输入，2分支 2) import math 3) import logging 4) from functools import partial 5) from collections import OrderedDict 6) from copy import deepcopy 7) import torch 8) import torch.nn as nn 9) import torch.nn.functional as F 10) from timm.models.layers import to_2tuple
For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.
Input:
Break this into best-practice, executable steps.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.