llms.txt · git:20260913.474e464 · 2026-09-13 · sha256 62d7be129e6cca28

llms.txt git:20260913.474e464A

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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