Security audit
Security checks for vulnerabilities and agentic risk
The skill appears to provide reasoning tools, but it under-discloses persistent API key storage, external data transmission, and some inconsistent project identity signals.
Review this skill before installing. Only provide an API key if you are comfortable with it being stored in a local .env file, and avoid sending sensitive claims, private documents, business data, or credentials through its reasoning tools unless the upstream service and retention policy are acceptable.
default_year: int = 2025
def model_post_init(self, __context):
# 强制从 .env 文件读取 XBY_APIKEY
env_path = Path(".env")
if env_path.exists():
content = env_path.read_text(encoding="utf-8")def model_post_init(self, __context):
# 强制从 .env 文件读取 XBY_APIKEY
env_path = Path(".env")
if env_path.exists():
content = env_path.read_text(encoding="utf-8")
for line in content.splitlines():def save_api_key_to_env(api_key: str) -> bool:
"""将API key保存到.env文件"""
try:
env_path = Path(".env")
lines = []
if env_path.exists():
lines = env_path.read_text(encoding="utf-8").splitlines()def set_api_key(api_key: str) -> bool:
"""设置API key并持久化到.env"""
if not api_key or not api_key.strip():
return False
api_key = api_key.strip()requests>=2.31.0 pydantic>=2.7.0 pydantic-settings>=2.2.0 python-dotenv>=1.0.1
requests>=2.31.0 pydantic>=2.7.0 pydantic-settings>=2.2.0 python-dotenv>=1.0.1
requests>=2.31.0 pydantic>=2.7.0 pydantic-settings>=2.2.0 python-dotenv>=1.0.1
requests>=2.31.0 pydantic>=2.7.0 pydantic-settings>=2.2.0 python-dotenv>=1.0.1
No suspicious patterns detected.