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threat-model-generation威胁模型生成

Agent Skill

threat-model-generation 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

930

周安装

38

GitHub Stars

64

下载量

301
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:threat-model-generation(威胁模型生成)
来源仓库:https://github.com/factory-ai/factory-plugins
仓库路径:skills/threat-model-generation
安装命令:
npx skills add https://github.com/factory-ai/factory-plugins --skill threat-model-generation
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/factory-ai/factory-plugins --skill threat-model-generation

简介

用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。

  • 适合围绕代码变更、问题跟踪或团队协作事项进行结构化整理。
  • 可生成变更摘要、影响范围图或风险提示,提升项目管理透明度。
  • 安装命令:npx skills add https://github.com/factory-ai/factory-plugins --skill threat-model-generation。
  • 需确认是否集成可视化图表生成功能,以便直观展示结果。

SKILL.md

Threat Model Generation

Generate a comprehensive security threat model for a repository using the STRIDE methodology. This skill analyzes the codebase architecture and produces an LLM-optimized threat model document that other security skills can reference.

When to Use This Skill

  • First-time setup - New repository needs initial threat model
  • Architecture changes - Significant changes to components, APIs, or data flows
  • Security audit - Periodic review or compliance requirement
  • Manual request - Security team requests updated threat model

Inputs

Before running this skill, gather or confirm:

InputDescriptionRequired
Repository pathRoot directory to analyzeYes (default: current directory)
Existing threat modelPath to existing .factory/threat-model.md if updatingNo
Compliance requirementsFrameworks to consider (SOC2, GDPR, HIPAA, etc.)No
Security contactsEmail addresses for security team notificationsNo

Instructions

Follow these steps in order:

Step 1: Analyze Repository Structure

Scan the codebase to understand the system:

  1. Identify languages and frameworks

- Check package.json, requirements.txt, go.mod, Cargo.toml, etc. - Note the primary tech stack (e.g., Next.js, Django, Go microservices)

  1. Map components and services

- Look for apps/, services/, packages/ directories - Identify entry points: API routes, CLI commands, web handlers - Note databases, caches, message queues

  1. Identify external interfaces

- HTTP endpoints (REST, GraphQL) - File upload handlers - Webhook receivers - OAuth/SSO integrations - CLI commands that accept user input

  1. Trace data flows

- How does user input enter the system? - Where is sensitive data stored? - What external services are called?

Step 2: Identify Trust Boundaries

Define security zones:

  1. Public Zone (untrusted)

- All external HTTP endpoints - Public APIs without authentication - User-uploaded files

  1. Authenticated Zone (partially trusted)

- Endpoints requiring valid session/token - User-specific data access - Rate-limited APIs

  1. Internal Zone (trusted)

- Service-to-service communication - Admin-only endpoints - Database connections - Secrets management

Document where trust boundaries exist and what validates transitions between zones.

Step 3: Inventory Critical Assets

Classify data by sensitivity:

  1. PII (Personally Identifiable Information)

- User emails, names, addresses, phone numbers - Document protection measures

  1. Credentials & Secrets

- Password hashes, API keys, OAuth tokens - JWT signing keys, encryption keys - Document rotation policies

  1. Business-Critical Data

- Transaction records, customer data - Proprietary algorithms, trade secrets - Document access controls

Step 4: Apply STRIDE Analysis

For each major component, analyze threats in all six categories:

S - Spoofing Identity

  • Can attackers impersonate users or services?
  • Are authentication mechanisms secure?
  • Look for: weak session handling, API key exposure, missing MFA

T - Tampering with Data

  • Can attackers modify data in transit or at rest?
  • Look for: SQL injection, XSS, mass assignment, missing input validation

R - Repudiation

  • Can users deny actions they performed?
  • Look for: missing audit logs, insufficient logging, no immutable trails

I - Information Disclosure

  • Can attackers access data they shouldn't?
  • Look for: IDOR, verbose errors, hardcoded secrets, data leaks in logs

D - Denial of Service

  • Can attackers disrupt service availability?
  • Look for: missing rate limits, resource exhaustion, algorithmic complexity

E - Elevation of Privilege

  • Can attackers gain unauthorized access levels?
  • Look for: missing authorization checks, role manipulation, privilege escalation

For each identified threat:

  • Describe the attack scenario
  • List vulnerable components
  • Show code patterns to look for
  • Note existing mitigations
  • Identify gaps
  • Assign severity (CRITICAL/HIGH/MEDIUM/LOW) and likelihood

Step 5: Document Vulnerability Patterns

Create a library of code patterns specific to this codebase's tech stack:

# Example: SQL Injection patterns for Python
# VULNERABLE
sql = f"SELECT * FROM users WHERE id = {user_id}"

# SAFE
cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))

Include patterns for:

  • SQL injection
  • XSS (Cross-Site Scripting)
  • Command injection
  • Path traversal
  • Authentication bypass
  • IDOR (Insecure Direct Object Reference)

Step 6: Generate Output Files

Create two files:

1. .factory/threat-model.md

Use the template in stride-template.md to generate a comprehensive threat model with:

  • System overview with architecture description
  • Trust boundaries and security zones
  • Attack surface inventory
  • Critical assets classification
  • STRIDE threat analysis for each component
  • Vulnerability pattern library
  • Security testing strategy
  • Assumptions and accepted risks
  • Version changelog

The document should be written in natural language with code examples, optimized for LLM comprehension.

2. .factory/security-config.json

Generate configuration metadata:

{
  "threat_model_version": "1.0.0",
  "last_updated": "<ISO timestamp>",
  "security_team_contacts": [],
  "compliance_requirements": [],
  "scan_frequency": "on_commit",
  "severity_thresholds": {
    "block_merge": ["CRITICAL"],
    "require_review": ["HIGH", "CRITICAL"],
    "notify_security_team": ["CRITICAL"]
  },
  "vulnerability_patterns": {
    "enabled": [
      "sql_injection",
      "xss",
      "command_injection",
      "path_traversal",
      "auth_bypass",
      "idor"
    ],
    "custom_patterns_path": null
  }
}

Customize based on:

  • Detected compliance requirements (from docs, configs, or user input)
  • Security team contacts (if provided)
  • Tech stack (enable relevant vulnerability patterns)

Success Criteria

The skill is complete when:

  • .factory/threat-model.md exists with all sections populated
  • .factory/security-config.json exists with valid JSON
  • All major components have STRIDE analysis
  • Vulnerability patterns match the tech stack
  • Document is written in natural language (LLM-readable)
  • No placeholder text remains

Verification

Run these checks before completing:

# Verify threat model exists and is non-empty
test -s .factory/threat-model.md && echo "✓ Threat model exists"

# Verify config is valid JSON
cat .factory/security-config.json | jq . > /dev/null && echo "✓ Config is valid JSON"

# Check threat model has key sections
grep -q "## 1. System Overview" .factory/threat-model.md && echo "✓ Has System Overview"
grep -q "## 5. Threat Analysis" .factory/threat-model.md && echo "✓ Has Threat Analysis"
grep -q "## 6. Vulnerability Pattern Library" .factory/threat-model.md && echo "✓ Has Pattern Library"

Example Invocations

Generate initial threat model:

Generate a threat model for this repository using the threat-model-generation skill.

Update existing threat model after architecture change:

Update the threat model - we added a new payments service in services/payments/.

Generate with compliance requirements:

Generate a threat model for this repository. We need to comply with SOC2 and GDPR.

References

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

36.89%
按下载量换算111

Claude

27.1%
按下载量换算82

Cursor

20.7%
按下载量换算62

Gemini CLI

10.1%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。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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