JailbrokenAI/wallbreaker

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1310 stars · 219 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Wallbreaker is a Claude-Code-style terminal harness for red-teaming LLMs, driving an autonomous agent loop that runs jailbreak attacks (PAIR/TAP, Crescendo, best-of-N) against configurable OpenAI-/Anthropic-compatible backends. It bundles transform engines (Parseltongue), a jailbreak library, HarmBench benchmarks, an LLM judge, and reliability validation for measuring real bypass success rates.

Use cases

• red-team an LLM for jailbreak vulnerabilities
• run automated PAIR or TAP attack loops against a model
• measure real jailbreak success rate with repeated validation
• test system prompt robustness with HarmBench behaviors
• generate adversarial prompt transforms like encodings and homoglyphs
• author persona-based system prompt jailbreaks
• run a universal system prompt extraction sweep

When to choose

• you are doing authorized LLM security testing and want an agentic attack harness
• you need standardized benchmarks (HarmBench) instead of hand-picked prompts
• you want a configurable backend across OpenRouter, Anthropic, OpenAI-compatible, or local APIs
• you need transform-based evasion like Parseltongue encodings and steganography

When to avoid

• you want to jailbreak models without authorization - this is for authorized testing only
• you need a general-purpose coding assistant rather than a red-team tool
• you need a GUI or web interface - it is terminal-only
• your use case is defensive-only filtering with no adversarial evaluation

Facets

cli-tool · maturity active

security llm-inference agent-framework mcp cli testing prompt-engineering security artificial-intelligence large-language-models penetration-testing developer-tools cli python cross-platform red-teaming jailbreak llm-security adversarial-attacks harmbench pair-tap crescendo openrouter anthropic-api openai-api authorized-testing command-line

Member repositories

For agents

markdown · JSON · MCP: product_card(name="JailbrokenAI/wallbreaker")