Security audit
Security checks across malware telemetry and agentic risk
This skill is a broad AI application engineering workflow with expected templates and helper scripts; its network and logging examples are disclosed and purpose-aligned, but users should handle prompts, logs, and third-party APIs carefully.
Install if you want a broad AI development workflow, but treat it as engineering guidance rather than a privacy-complete implementation. Before running evals or adding moderation providers, review what prompts, user text, logs, and test data will leave your environment, add consent and redaction where needed, and use mock/local modes for confidential datasets.
def aliyun_content_check(text: str) -> dict:
"""阿里云内容安全审核"""
# 检测: 色情、暴恐、违禁、广告、辱骂、灌水
response = requests.post(
"https://green.cn-shanghai.aliyuncs.com/green/text/scan",
json={
"scenes": ["antispam"],def aliyun_content_check(text: str) -> dict:
"""阿里云内容安全审核"""
# 检测: 色情、暴恐、违禁、广告、辱骂、灌水
response = requests.post(
"https://green.cn-shanghai.aliyuncs.com/green/text/scan",
json={
"scenes": ["antispam"],64/64 vendors flagged this skill as clean.
No suspicious patterns detected.