Security audit
Security checks for vulnerabilities and agentic risk
This gesture-detection skill mostly does what it claims, but it deserves review because it sends images to an external API, stores an API key in a local .env file, and contains stale Gaokao-related code and instructions.
Install only if you are comfortable sending gesture images or image URLs to XiaoBenYang's remote API and storing the service API key in a local plaintext .env file. Review or remove the stale Gaokao references before trusting the package in a sensitive environment, and prefer a scoped secret store or disposable API key.
if not found:
new_lines.append(f"XBY_APIKEY={api_key}")
env_path.write_text("\n".join(new_lines) + "\n", encoding="utf-8")
os.environ["XBY_APIKEY"] = api_key
return True
except Exception as e:
print(f"保存API key失败: {e}")model_config = SettingsConfigDict(
env_prefix="XBY_GAOKAO_",
env_file=".env",
env_file_encoding="utf-8",
extra="ignore",
)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():if line.startswith("XBY_APIKEY="):
self.api_key = line.split("=", 1)[1].strip()
break
# 如果环境变量有值，覆盖 .env 的值
env_val = os.getenv("XBY_APIKEY", "")
if env_val:
self.api_key = env_valdef 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.