⚔️ Hostile Review
Autonomous adversarial code validation. 108 hostile agents independently analyze your code from different attack surfaces and surface failures that solo AI review misses. Submit a GitHub PR, upload code, or connect via MCP — get severity-ranked findings in under 60 seconds.
Welcome to the most advanced code scanner on the planet.
🛡 Security Review
28 adversarial agents with red-team mentality. Every line of code is a potential attack surface.
- Injection attacks, auth bypasses, SSRF, XSS, CSRF
- Secrets in code, weak crypto, session flaws
- API security, container misconfig, supply chain
- Attack chain analysis and threat modeling
💡 Structural Weaknesses
28 agents that expose architecture flaws, missing coverage, and code rot.
- Architecture, design patterns, refactoring
- Performance, concurrency, database optimization
- Testing strategy, error handling, resilience
- CI/CD, observability, production readiness
🎯 Scan Presets
Don't want to pick agents manually? Choose a preset:
- Demo (6) — free preview, one agent per category
- Core Only (8) — essential reviewers, fast and cheap
- Quick Scan (26) — core + recommended specialists
- Deep Scan (68) — thorough multi-angle analysis
- Full Assault (108) — every agent, maximum coverage
- Custom — hand-pick individual agents
💰 Pricing
Five quality tiers — you choose per agent. Our backend orchestrator assigns the optimal model to each agent based on scan context. Higher tiers unlock more compute and deeper analysis.
Models: Multiple frontier LLMs selected per tier for optimal performance
- Diamond — $0.0140/1K tokens — Maximum depth, highest accuracy
- Platinum — $0.0100/1K tokens — Comprehensive coverage, strong attack surface detection
- Gold — $0.0070/1K tokens — Best value, production-grade
- Silver — $0.0006/1K tokens — Fast, lightweight analysis
- HR Sharona — $0.00035/1K tokens — Critical Issues Focus
- HR Roasty — $0.0002/1K tokens — Local AI, budget-friendly
Each agent can run at any tier. Cost estimate shown live before you scan. Learn more
🔒 Privacy
- GitHub tokens are sent securely and never stored
- Code is processed in memory and discarded after review
- Only findings and metadata are saved
- Private repo support via fine-grained personal access tokens
🚀 What You Get
- Severity-ranked findings: critical, high, medium, low, info
- File and line references for every finding
- Suggested fixes with code snippets
- Consensus verdict: approve, comment, or request changes
- Deduplicated results via consensus engine
facebook/react + 28000
apolloraines/SAIQL-Engine — scans up to 10,000 code files from the repo
- Go to GitHub → Settings → Personal Access Tokens → Fine-grained
- Click Generate new token
- Select "Only select repositories" and pick the repo you want reviewed
- Under Permissions, click "+ Add permissions" and check all boxes with Read-only access
- Click Generate token and paste it above
- Open your project on GitLab, click Settings (left menu) → Access Tokens
- Click Add new token
- Enter a name (e.g. "Hostile Review")
- Set an expiration date (max 1 year)
- Select role: Reporter or higher
- Select scopes: api (full API access — needed to post review comments and set commit status)
- Click Create project access token and paste it above