Stride Analysis PatternsSAFE
oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.
Overview
oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.
31c3d29836edOBSERVED · 2026-10-12What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: stride-analysis-patterns
description: Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
---
# STRIDE Analysis Patterns
Systematic threat identification using the STRIDE methodology.
## When to Use This Skill
- Starting new threat modeling sessions
- Analyzing existing system architecture
- Reviewing security design decisions
- Creating threat documentation
- Training teams on threat identification
- Compliance and audit preparation
## Core Concepts
### 1. STRIDE Categories
```
S - Spoofing → Authentication threats
T - Tampering → Integrity threats
R - Repudiation → Non-repudiation threats
I - Information → Confidentiality threats
Disclosure
D - Denial of → Availability threats
Service
E - Elevation of → Authorization threats
Privilege
```
### 2. Threat Analysis Matrix
| Category | Question | Control Family |
| ------------------- | ----------------------------------------- | -------------- |
| **Spoofing** | Can attacker pretend to be someone else? | Authentication |
| **Tampering** | Can attacker modify data in transit/rest? | Integrity |
| **Repudiation** | Can attacker deny actions? | Logging/Audit |
| **Info Disclosure** | Can attacker access unauthorized data? | Encryption |
| **DoS** | Can attacker disrupt availability? | Rate limiting |
| **Elevation** | Can attacker gain higher privileges? | Authorization |
## Templates
### Template 1: STRIDE Threat Model Document
```markdown
# Threat Model: [System Name]
## 1. System Overview
### 1.1 Description
[Brief description of the system and its purpose]
### 1.2 Data Flow Diagram
```
[User] --> [Web App] --> [API Gateway] --> [Backend Services]
|
v
[Database]
```
### 1.3 Trust Boundaries
- **External Boundary**: Internet to DMZ
- **Internal Boundary**: DMZ to Internal Network
- **Data Boundary**: Application to Database
## 2. Assets
| Asset | Sensitivity | Description |
|-------|-------------|-------------|
| User Credentials | High | Authentication tokens, passwords |
| Personal Data | High | PII, financial information |
| Session Data | Medium | Active user sessions |
| Application Logs | Medium | System activity records |
| Configuration | High | System settings, secrets |
## 3. STRIDE Analysis
### 3.1 Spoofing Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| S1 | Session hijacking | User sessions | High | Medium |
| S2 | Token forgery | JWT tokens | High | Low |
| S3 | Credential stuffing | Login endpoint | High | High |
**Mitigations:**
- [ ] Implement MFA
- [ ] Use secure session management
- [ ] Implement account lockout policies
### 3.2 Tampering Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| T1 | SQL injection | Database queries | Critical | Medium |
| T2 | Parameter manipulation | API requests | High | High |
| T3 | File upload abuse | File storage | High | Medium |
**Mitigations:**
- [ ] Input validation on all endpoints
- [ ] Parameterized queries
- [ ] File type validation
### 3.3 Repudiation Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| R1 | Transaction denial | Financial ops | High | Medium |
| R2 | Access log tampering | Audit logs | Medium | Low |
| R3 | Action attribution | User actions | Medium | Medium |
**Mitigations:**
- [ ] Comprehensive audit logging
- [ ] Log integrity protection
- [ ] Digital signatures for critical actions
### 3.4 Information Disclosure Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| I1 | Data breach | User PII | Critical | Medium |
| I2 | Error message leakage | System info | Low | High |
| I3 | Insecure transmission | Network traffic | High | Medium |
**Mitigations:**
- [ ] Encryption at rest and in transit
- [ ] Sanitize error messages
- [ ] Implement TLS 1.3
### 3.5 Denial of Service Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| D1 | Resource exhaustion | API servers | High | High |
| D2 | Database overload | Database | Critical | Medium |
| D3 | Bandwidth saturation | Network | High | Medium |
**Mitigations:**
- [ ] Rate limiting
- [ ] Auto-scaling
- [ ] DDoS protection
### 3.6 Elevation of Privilege Threats
| ID | Threat | Target | Impact | Likelihood |
|----|--------|--------|--------|------------|
| E1 | IDOR vulnerabilities | User resources | High | High |
| E2 | Role manipulation | Admin access | Critical | Low |
| E3 | JWT claim tampering | Authorization | High | Medium |
**Mitigations:**
- [ ] Proper authorization checks
- [ ] Principle of least privilege
- [ ] Server-side role validation
## 4. Risk Assessment
### 4.1 Risk Matrix
```
IMPACT
Low Med High Crit
Low 1 2 3 4
L Med 2 4 6 8
I High 3 6 9 12
K Crit 4 8 12 16
```
### 4.2 Prioritized Risks
| Rank | Threat | Risk Score | Priority |
|------|--------|------------|----------|
| 1 | SQL Injection (T1) | 12 | Critical |
| 2 | IDOR (E1) | 9 | High |
| 3 | Credential Stuffing (S3) | 9 | High |
| 4 | Data Breach (I1) | 8 | High |
## 5. Recommendations
### Immediate Actions
1. Implement input validation framework
2. Add rate limiting to authentication endpoints
3. Enable comprehensive audit logging
### Short-term (30 days)
1. Deploy WAF with OWASP ruleset
2. Implement MFA for sensitive operations
3. Encrypt all PII at rest
### Long-term (90 days)
1. Security awareness training
2. Penetration testing
3. Bug bounty program
```
### Template 2: STRIDE Analysis Code
```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional
import json
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
"E": "Process gaining elevated access",
Gates applied: no_behavioural_pass.
31c3d29836edfull audit observations/trust-audit/skill/sangrokjung__stride-analysis-patterns.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 31c3d29836ed | SAFE | B | 89 | first audit |
Questions
What does the Stride Analysis Patterns skill do?
oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.
Is Stride Analysis Patterns safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Stride Analysis Patterns access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (31c3d29836ed), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.