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# hermes-jailbench
Deterministic jailbreak regression benchmark for LLM endpoints.
Use this repo when you need to:
- rerun known jailbreak attempts after a prompt or model change
- compare refusal rates across releases
- save markdown or JSON evidence for audit trails
Primary CLI:
- `hermes-jailbench --demo`
- `hermes-jailbench --dry-run`
- `hermes-jailbench --model <model> --api-key $ANTHROPIC_API_KEY`
+ Agent skill (one canonical skills/hermes-jailbench/SKILL.md):
+ - Claude Code: `claude plugin marketplace add hermes-labs-ai/hermes-jailbench` then `claude plugin install hermes-jailbench@hermes-jailbench`
+ - Codex CLI: `codex plugin marketplace add hermes-labs-ai/hermes-jailbench` then `codex plugin add hermes-jailbench@hermes-jailbench`
+ - Gemini CLI: `gemini extensions install https://github.com/hermes-labs-ai/hermes-jailbench --ref main`
+
Outputs:
- per-attack verdicts
- refusal, partial, and compliance counts
- category breakdown
- markdown or JSON report
Do not use this repo as:
- proof against novel jailbreaks
- a multi-turn red-team harness
- a semantic judge for edge cases without human review
Key success condition:
- the same attack corpus and response text produce the same score and report shape
## About Hermes Labs
Hermes Labs is an independent AI-reliability lab building open-source tools that catch silent failure modes in production AI. More at https://hermes-labs.ai