# Your first scan {% hint style="danger" %} Only run garak on systems that you have permission to use! It performs an exhaustive scan with some pretty strong prompts that might be misinterpreted. {% endhint %} So you've installed garak - great! Let's run a scan to see what's up. To keep things simple, let's try a straightforward target that could run on most machines - gpt2. Hugging Face Hub has a free and openly available version of this, so let's use that. And let's try a relatively straightforward probe, one that tries to get rude generations from the model. First we'd like to see the list of probes available. Open a terminal if you don't have one up already, and run garak by entering the following then pressing enter: ``` python -m garak --list_probes ``` You should get a list of probes in garak, with symbols at the side of some lines. You can always read more about garak's options by running `python -m garak --help` (or sometimes just `garak --help`, depending on your installation). Back to the list of probes. It might look like this. ``` garak LLM security probe v0.9.0.6 ( https://github.com/leondz/garak ) at 2023-07-24T11:20:16.086762 probes: art 🌟 probes: art.Tox probes: continuation 🌟 probes: continuation.ContinueSlursReclaimedSlurs50 probes: dan 🌟 probes: dan.Ablation_Dan_11_0 probes: dan.AntiDAN probes: dan.ChatGPT_Developer_Mode_RANTI probes: dan.ChatGPT_Developer_Mode_v2 probes: dan.ChatGPT_Image_Markdown probes: dan.DAN_Jailbreak probes: dan.DUDE probes: dan.Dan_10_0 probes: dan.Dan_11_0 probes: dan.Dan_6_0 probes: dan.Dan_6_2 probes: dan.Dan_7_0 probes: dan.Dan_8_0 probes: dan.Dan_9_0 probes: dan.STAN probes: encoding 🌟 probes: encoding.InjectAscii85 probes: encoding.InjectBase16 probes: encoding.InjectBase2048 probes: encoding.InjectBase32 probes: encoding.InjectBase64 probes: encoding.InjectBraille probes: encoding.InjectHex probes: encoding.InjectMime 💤 probes: encoding.InjectMorse probes: encoding.InjectQP 💤 probes: encoding.InjectROT13 probes: encoding.InjectUU probes: glitch 🌟 probes: glitch.Glitch 💤 probes: glitch.Glitch100 probes: goodside 🌟 probes: goodside.ThreatenJSON probes: goodside.WhoIsRiley probes: goodside._Davidjl probes: knownbadsignatures 🌟 probes: knownbadsignatures.EICAR probes: knownbadsignatures.GTUBE probes: knownbadsignatures.GTphish probes: leakreplay 🌟 probes: leakreplay.LiteratureCloze 💤 probes: leakreplay.LiteratureCloze80 probes: leakreplay.LiteratureComplete 💤 probes: leakreplay.LiteratureComplete80 probes: lmrc 🌟 probes: lmrc.Anthropomorphisation probes: lmrc.Bullying probes: lmrc.Deadnaming probes: lmrc.Profanity probes: lmrc.QuackMedicine probes: lmrc.SexualContent probes: lmrc.Sexualisation probes: lmrc.SlurUsage probes: malwaregen 🌟 probes: malwaregen.Evasion probes: malwaregen.Payload probes: malwaregen.SubFunctions probes: malwaregen.TopLevel probes: misleading 🌟 probes: misleading.FalseAssertion50 probes: promptinject 🌟 probes: promptinject.HijackHateHumans 💤 probes: promptinject.HijackHateHumansMini probes: promptinject.HijackKillHumans 💤 probes: promptinject.HijackKillHumansMini probes: promptinject.HijackLongPrompt 💤 probes: promptinject.HijackLongPromptMini probes: realtoxicityprompts 🌟 probes: realtoxicityprompts.RTPBlank probes: realtoxicityprompts.RTPFlirtation probes: realtoxicityprompts.RTPIdentity_Attack probes: realtoxicityprompts.RTPInsult probes: realtoxicityprompts.RTPProfanity probes: realtoxicityprompts.RTPSevere_Toxicity probes: realtoxicityprompts.RTPSexually_Explicit probes: realtoxicityprompts.RTPThreat probes: snowball 🌟 probes: snowball.GraphConnectivity 💤 probes: snowball.GraphConnectivityMini probes: snowball.Primes 💤 probes: snowball.PrimesMini probes: snowball.Senators 💤 probes: snowball.SenatorsMini probes: test 🌟 probes: test.Blank 💤 probes: xss 🌟 probes: xss.MarkdownImageExfil ``` That's good! The stars 🌟 indicate a whole plugin; if we also garak to run them, it will run all the probes in that category. Except the disabled ones, marked with 💤. We can run disabled probes my naming them directly when we start a garak run, but they won't be selected automatically. Under `lmrc` we can see a probe named "`lmrc.Profanity`". Let's try this one. LMRC stands for "Language Model Risk Cards", and the probes in here come from a framework for [assessing language model deployments](https://arxiv.org/abs/2303.18190). But for now let's just run the profanity probe. To recap - we'll run a Hugging Face model, called gpt2, and use the lmrc.Profanity probe. So, our command line is: `python -m garak --model_type huggingface --model_name gpt2 --probes lmrc.Profanity` Typing that in and pressing enter should start the garak run! It will download gpt2 if you don't have it already - there'll be some progress bars about that - and then it will start the scan. If all goes well, you should see a progress bar and then a number of lines each saying PASS or FAIL. Congratulations! You're run your first garak scan. The next section covers how to read these results. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.garak.ai/garak/llm-scanning-basics/your-first-scan.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.