security-requirement-extraction▌
wshobson/agents · updated Apr 8, 2026
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Transform threat analysis into actionable security requirements.
- ›Converts STRIDE threat categories into functional, non-functional, and constraint requirements with automatic priority calculation based on impact and likelihood
- ›Generates security user stories, acceptance criteria, and test cases directly from threats; includes traceability matrices linking threats to requirements
- ›Maps requirements to compliance frameworks (PCI-DSS, HIPAA, GDPR, SOC2, NIST, ISO 27001, OWASP) and identi
Security Requirement Extraction
Transform threat analysis into actionable security requirements.
When to Use This Skill
- Converting threat models to requirements
- Writing security user stories
- Creating security test cases
- Building security acceptance criteria
- Compliance requirement mapping
- Security architecture documentation
Core Concepts
1. Requirement Categories
Business Requirements → Security Requirements → Technical Controls
↓ ↓ ↓
"Protect customer "Encrypt PII at rest" "AES-256 encryption
data" with KMS key rotation"
2. Security Requirement Types
| Type | Focus | Example |
|---|---|---|
| Functional | What system must do | "System must authenticate users" |
| Non-functional | How system must perform | "Authentication must complete in <2s" |
| Constraint | Limitations imposed | "Must use approved crypto libraries" |
3. Requirement Attributes
| Attribute | Description |
|---|---|
| Traceability | Links to threats/compliance |
| Testability | Can be verified |
| Priority | Business importance |
| Risk Level | Impact if not met |
Templates
Template 1: Security Requirement Model
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Set
from datetime import datetime
class RequirementType(Enum):
FUNCTIONAL = "functional"
NON_FUNCTIONAL = "non_functional"
CONSTRAINT = "constraint"
class Priority(Enum):
CRITICAL = 1
HIGH = 2
MEDIUM = 3
LOW = 4
class SecurityDomain(Enum):
AUTHENTICATION = "authentication"
AUTHORIZATION = "authorization"
DATA_PROTECTION = "data_protection"
AUDIT_LOGGING = "audit_logging"
INPUT_VALIDATION = "input_validation"
ERROR_HANDLING = "error_handling"
SESSION_MANAGEMENT = "session_management"
CRYPTOGRAPHY = "cryptography"
NETWORK_SECURITY = "network_security"
AVAILABILITY = "availability"
class ComplianceFramework(Enum):
PCI_DSS = "pci_dss"
HIPAA = "hipaa"
GDPR = "gdpr"
SOC2 = "soc2"
NIST_CSF = "nist_csf"
ISO_27001 = "iso_27001"
OWASP = "owasp"
@dataclass
class SecurityRequirement:
id: str
title: str
description: str
req_type: RequirementType
domain: SecurityDomain
priority: Priority
rationale: str = ""
acceptance_criteria: List[str] = field(default_factory=list)
test_cases: List[str] = field(default_factory=list)
threat_refs: List[str] = field(default_factory=list)
compliance_refs: List[str] = field(default_factory=list)
dependencies: List[str] = field(default_factory=list)
status: str = "draft"
owner: str = ""
created_date: datetime = field(default_factory=datetime.now)
def to_user_story(self) -> str:
"""Convert to user story format."""
return f"""
**{self.id}: {self.title}**
As a security-conscious system,
I need to {self.description.lower()},
So that {self.rationale.lower()}.
**Acceptance Criteria:**
{chr(10).join(f'- [ ] {ac}' for ac in self.acceptance_criteria)}
**Priority:** {self.priority.name}
**Domain:** {self.domain.value}
**Threat References:** {', '.join(self.threat_refs)}
"""
def to_test_spec(self) -> str:
"""Convert to test specification."""
return f"""
## Test Specification: {self.id}
### Requirement
{self.description}
### Test Cases
{chr(10).join(f'{i+1}. {tc}' for i, tc in enumerate(self.test_cases))}
### Acceptance Criteria Verification
{chr(10).join(f'- {ac}' for ac in self.acceptance_criteria)}
"""
@dataclass
class RequirementSet:
name: str
version: str
requirements: List[SecurityRequirement] = field(default_factory=list)
def add(self, req: SecurityRequirement) -> None:
self.requirements.append(req)
def get_by_domain(self, domain: SecurityDomain) -> List[SecurityRequirement]:
return [r for r in self.requirements if r.domain == domain]
def get_by_priority(self, priority: Priority) -> List[SecurityRequirement]How to use security-requirement-extraction on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add security-requirement-extraction
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches security-requirement-extraction from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate security-requirement-extraction. Access the skill through slash commands (e.g., /security-requirement-extraction) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★30 reviews- ★★★★★Isabella Ramirez· Dec 24, 2024
Solid pick for teams standardizing on skills: security-requirement-extraction is focused, and the summary matches what you get after install.
- ★★★★★Anika Iyer· Dec 16, 2024
Registry listing for security-requirement-extraction matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Useful defaults in security-requirement-extraction — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chinedu Harris· Dec 4, 2024
security-requirement-extraction reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Henry Ramirez· Nov 15, 2024
We added security-requirement-extraction from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Oshnikdeep· Nov 3, 2024
security-requirement-extraction is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Oct 22, 2024
Keeps context tight: security-requirement-extraction is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Isabella Menon· Oct 6, 2024
security-requirement-extraction fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anaya Taylor· Sep 25, 2024
I recommend security-requirement-extraction for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Omar Desai· Sep 21, 2024
Solid pick for teams standardizing on skills: security-requirement-extraction is focused, and the summary matches what you get after install.
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