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研究检索敏感数据github未标认证来源可访问许可证需确认审计异常

python-security-scanPython 安全 scan

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

18,462

周安装

599

GitHub Stars

90

下载量

4,357
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python-security-scan(Python 安全 scan)
来源仓库:https://github.com/sugarforever/01coder-agent-skills
仓库路径:skills/python-security-scan
安装命令:
npx skills add https://github.com/sugarforever/01coder-agent-skills --skill 'Python Security Scan'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/sugarforever/01coder-agent-skills --skill 'Python Security Scan'

简介

提供 Python 代码安全扫描与风险检测能力。

  • 可识别潜在漏洞如注入、依赖缺陷等问题。python-security-scan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适用于 CI/CD 流程中的自动化安全检查。
  • 安装方式:通过 GitHub 仓库使用 npx 命令添加。
  • 扫描结果需人工复核,不可完全依赖工具判定。

SKILL.md

Python Security Scan Skill

This skill enables comprehensive security scanning of Python projects based on OWASP guidelines, Python security best practices, and framework-specific vulnerabilities.

When to Use This Skill

  • Security audits of Python applications
  • Code review for security vulnerabilities
  • Pre-deployment security checks
  • Dependency vulnerability assessment
  • Detecting hardcoded secrets and credentials
  • Framework-specific security reviews (Flask, Django, FastAPI)

Supported Frameworks

This skill automatically detects and applies framework-specific checks for:

  • Flask - Template injection, session security, CORS, extensions
  • Django - ORM injection, CSRF, template security, settings
  • FastAPI - Dependency injection, Pydantic validation, OAuth2
  • General Python - Core language vulnerabilities applicable to all projects

Scan Types

1. Quick Scan

Fast scan focusing on critical vulnerabilities:

  • Hardcoded secrets, API keys, and credentials
  • Dangerous function usage (eval, exec, pickle.loads)
  • Command injection via subprocess, os.system
  • SQL injection patterns
  • Known vulnerable dependencies

2. Full Scan

Comprehensive security assessment covering:

  • All OWASP Top 10:2025 categories
  • Python-specific vulnerabilities
  • Framework-specific security issues
  • Injection vulnerabilities (SQL, NoSQL, Command, LDAP)
  • Insecure deserialization
  • Authentication and authorization flaws
  • Cryptographic failures
  • Security misconfigurations
  • Dependency audit (CVE check)
  • Environment variable and secrets exposure

3. Targeted Scan

Focus on specific vulnerability categories:

  • --injection - SQL/NoSQL/Command/LDAP injection
  • --deserialization - Pickle, YAML, JSON deserialization
  • --auth - Authentication/authorization issues
  • --secrets - Hardcoded credentials
  • --deps - Dependency vulnerabilities
  • --crypto - Cryptographic issues
  • --flask - Flask-specific vulnerabilities
  • --django - Django-specific vulnerabilities
  • --fastapi - FastAPI-specific vulnerabilities

Scan Procedure

Step 1: Project Discovery

  1. Identify project type and framework:

- Check for requirements.txt, Pipfile, pyproject.toml, setup.py - Detect Flask (from flask import), Django (django.conf), FastAPI (from fastapi import)

  1. Locate configuration files
  2. Map the codebase structure

Step 2: Framework Detection

# Detection patterns
Flask: "from flask import", "Flask(__name__)"
Django: "django.conf.settings", "INSTALLED_APPS", "manage.py"
FastAPI: "from fastapi import", "FastAPI()"

Step 3: Dependency Audit

Run the dependency audit script:

./scripts/dependency-audit.sh /path/to/project

Or manually:

pip-audit
# or
safety check

Step 4: Secret Scanning

Scan for hardcoded secrets:

python scripts/secret-scanner.py /path/to/project

Important: Environment File Handling

  • By default, real .env files are SKIPPED (.env, .env.local, .env.production, etc.)
  • These files contain actual secrets and should not be in version control
  • Only .env.example and .env.template files are analyzed for documentation quality
  • Use --include-env-files flag only if explicitly requested by user

The scanner will:

  1. Scan source code for hardcoded secrets
  2. Analyze .env.example templates to check:

- Which sensitive variables are documented - Whether variables have descriptions (comments) - If placeholder values look like real secrets - Suggestions for missing common variables (SECRET_KEY, DATABASE_URL, etc.)

Step 5: Pattern Analysis

For each file in the codebase, check against patterns in:

  • references/python-vulnerabilities.md - Core Python issues
  • references/injection-patterns.md - Injection flaws
  • references/deserialization.md - Insecure deserialization
  • references/flask-security.md - Flask vulnerabilities
  • references/django-security.md - Django vulnerabilities
  • references/fastapi-security.md - FastAPI vulnerabilities

Step 6: Report Generation

Generate a security report using:

  • assets/report-template.md - Report structure

Severity Classification

SeverityDescriptionAction Required
CRITICALExploitable vulnerability with severe impactImmediate fix required
HIGHSignificant security riskFix before deployment
MEDIUMPotential security issueFix in next release
LOWMinor security concernConsider fixing
INFOSecurity best practice suggestionOptional improvement

Key Files to Scan

Always Check

  • **/*.py - All Python source files
  • requirements.txt, Pipfile, pyproject.toml - Dependencies
  • setup.py, setup.cfg - Package configuration
  • config.py, settings.py - Configuration files
  • **/secrets*, **/credentials* - Obvious secret locations

Environment Files

  • .env.example, .env.template - SCAN for template analysis
  • .env, .env.local, .env.production - SKIP by default (contain real secrets)

Note: Real .env files should never be committed to version control. The scanner analyzes .env.example templates to ensure proper documentation of required variables.

High Priority Locations

  • app.py, main.py, wsgi.py - Entry points
  • **/views.py, **/routes.py - Request handlers
  • **/api/**/*.py - API endpoints
  • **/auth*, **/login* - Authentication code
  • **/models.py - Database models
  • **/serializers.py - Data serialization
  • **/middleware.py - Middleware code

Framework-Specific

Flask:

  • app.py, __init__.py - Application factory
  • **/blueprints/** - Blueprint routes
  • templates/** - Jinja2 templates

Django:

  • settings.py, **/settings/*.py - Django settings
  • urls.py - URL configuration
  • **/views.py - View functions/classes
  • **/forms.py - Form definitions
  • templates/** - Django templates

FastAPI:

  • main.py - Application entry
  • **/routers/** - API routers
  • **/dependencies.py - Dependency injection
  • **/schemas.py - Pydantic models

Output Format

Findings should be reported as:

[SEVERITY] Category: Description
  File: path/to/file.py:lineNumber
  Code: <relevant code snippet>
  Risk: <explanation of the security risk>
  Fix: <recommended remediation>

Integration with CI/CD

This skill can generate output compatible with:

  • GitHub Security Advisories
  • SARIF format for GitHub Code Scanning
  • JSON for custom integrations
  • JUnit XML for CI pipelines

References

Load additional context as needed:

  • references/owasp-top-10.md - OWASP Top 10:2025 quick reference
  • references/python-vulnerabilities.md - Python-specific vulnerabilities
  • references/injection-patterns.md - Injection vulnerability patterns
  • references/deserialization.md - Insecure deserialization patterns
  • references/flask-security.md - Flask security guide
  • references/django-security.md - Django security guide
  • references/fastapi-security.md - FastAPI security guide

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.21%
按下载量换算1,491

Claude

31.16%
按下载量换算1,358

Cursor

16.71%
按下载量换算728

Gemini CLI

8.18%
按下载量换算356

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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