# Internal Red Team Audit

> Execute internal red team security audits to identify protocol vulnerabilities and alignment risks.

- Skill: `majiayu000/internal-red-team-audit` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/internal-red-team-audit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/internal-red-team-audit/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/internal-red-team-audit

---


# Internal Red Team Audit

## Skill Metadata
- **Name:** internal-red-team-audit
- **Category:** Adversarial Testing
- **Version:** 1.0.0

## Purpose
Execute comprehensive security and alignment audits from an internal red team perspective. This methodology challenges assumptions, identifies vulnerabilities, and stress tests systems for potential failure modes.

## Protocol

### Phase 1: Reconnaissance
1. Gather system context and current state
2. Identify attack surfaces and potential weak points
3. Document assumptions being made

### Phase 2: Threat Modeling
1. Enumerate potential threat actors and their capabilities
2. Map attack vectors and exploitation paths
3. Prioritize risks based on impact and likelihood

### Phase 3: Adversarial Testing
1. Execute controlled probes against identified weaknesses
2. Document findings with evidence
3. Classify severity (Critical/High/Medium/Low/Info)

### Phase 4: Synthesis Report
1. Summarize findings in structured format
2. Provide remediation recommendations
3. Generate risk score and executive summary

## Output Format
```json
{
  "audit_id": "UUID",
  "timestamp": "ISO_8601",
  "scope": "[AUDIT_SCOPE]",
  "findings": [
    {
      "id": "FINDING-001",
      "severity": "HIGH|MEDIUM|LOW|INFO",
      "title": "Finding Title",
      "description": "Detailed description",
      "evidence": "Supporting evidence",
      "recommendation": "Mitigation steps"
    }
  ],
  "risk_score": 0.0-10.0,
  "executive_summary": "Brief overview"
}
```

## Behavioral Calibration
```yaml
sycophancy_level: 0.0
pushback_threshold: 0.1
adversarial_mode: true
trust_but_verify: true
```

## Example Usage
- "Audit this API design for security vulnerabilities"
- "Red team analysis of authentication flow"
- "Identify failure modes in this distributed system"