REPOGEO REPORT · LITE
centerforaisafety/HarmBench
Default branch main · commit 8e1604d1 · scanned 6/14/2026, 1:47:22 PM
GitHub: 981 stars · 142 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface centerforaisafety/HarmBench, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXllm-safety, adversarial-testing, red-teaming, llm-evaluation, machine-learning-security, ai-safety, benchmark, robustness
- mediumreadme#2Reinforce core purpose in README's introductory paragraph
Why:
CURRENTA fast, scalable, and open-source framework for evaluating automated red teaming methods and LLM attacks/defenses
COPY-PASTE FIXHarmBench is a fast, scalable, and open-source **benchmark suite** for **systematically evaluating the safety and adversarial robustness of large language models (LLMs)** against automated red teaming methods and various LLM attacks/defenses.
- mediumcomparison#3Add a 'Comparison to Alternatives' section in the README
Why:
COPY-PASTE FIXAdd a new section titled 'Comparison to Alternatives' or 'Why HarmBench?' in the README, outlining how HarmBench differentiates itself from tools like Giskard, Garak, LLM Guard, and other LLM evaluation or adversarial testing frameworks by focusing on standardized, comprehensive, and extensible benchmarking for safety and robustness.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Giskard · recommended 1×
- Microsoft Guidance · recommended 1×
- LangChain · recommended 1×
- OpenAI Evals · recommended 1×
- Hugging Face Evaluate library · recommended 1×
- CATEGORY QUERYHow can I systematically evaluate the safety and robustness of my large language models?you: not recommendedAI recommended (in order):
- Giskard
- Microsoft Guidance
- LangChain
- OpenAI Evals
- Hugging Face Evaluate library
- Adversarial Robustness Toolbox (ART)
AI recommended 6 alternatives but never named centerforaisafety/HarmBench. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat frameworks exist for automated adversarial testing of LLMs to find vulnerabilities?you: not recommendedAI recommended (in order):
- Garak
- LLM Guard
- Adversarial GLUE (AdvGLUE)
- OpenAttack
- Robustness Gym
- Red Teaming with Azure AI Content Safety
- PromptInject
AI recommended 7 alternatives but never named centerforaisafety/HarmBench. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of centerforaisafety/HarmBench?passAI named centerforaisafety/HarmBench explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts centerforaisafety/HarmBench in production, what risks or prerequisites should they evaluate first?passAI named centerforaisafety/HarmBench explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo centerforaisafety/HarmBench solve, and who is the primary audience?passAI named centerforaisafety/HarmBench explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of centerforaisafety/HarmBench. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/centerforaisafety/HarmBench)<a href="https://repogeo.com/en/r/centerforaisafety/HarmBench"><img src="https://repogeo.com/badge/centerforaisafety/HarmBench.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
centerforaisafety/HarmBench — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite