SimpleAudit
Simula Research LaboratoryLocal-first framework for multilingual auditing and red-teaming of AI systems through adversarial probing, developed by Simula and SimulaMet in Norway with the Norwegian Directorate of Health. It runs open models locally so prompts, transcripts and policies stay inside the deployment environment, and ships scenario packs for safety, RAG, healthcare and broken-premise testing. It is a verified Digital Public Good.
A fixed default scenario pack, rubric, auditor, judge and sampling configuration make reruns comparable. Verified 2026-08-13 via the simpleaudit repository README and its LICENSE.
Openness
5 high confidence- license
- MIT(OSI
- source
- public
- core-gated
- ungated(local execution is the default mode, all scenario packs ship in the package)
Permissive OSI (MIT) license with full public source. The README describes a local-first framework that ships its scenario packs and needs no account, and no paid tier, hosted edition or license key appears anywhere in it.
- https://raw.githubusercontent.com/kelkalot/simpleaudit/main/LICENSE recorded 2026-06-22
LICENSE body 'MIT License', copyright Simula Research Laboratory
- https://www.digitalpublicgoods.net/r/simpleaudit recorded 2026-06-22
DPG profile confirming multilingual safety red-teaming framework
- https://raw.githubusercontent.com/kelkalot/simpleaudit/main/README.md recorded 2026-08-11
README states 'Local execution is the default deployment mode and the original design constraint: prompts, transcripts, and policies stay inside the deployment environment' and 'MIT License - see LICENSE for details'. The scenario packs and judge configurations ship in the package; the only external dependency is the user's own model API key.
- https://raw.githubusercontent.com/kelkalot/simpleaudit/main/LICENSE recorded 2026-08-13
LICENSE body is 'MIT License', copyright Simula Research Laboratory.
- https://raw.githubusercontent.com/kelkalot/simpleaudit/main/README.md recorded 2026-08-13
'SimpleAudit is a simple, extensible, local-first framework for multilingual auditing and red-teaming of AI systems via adversarial probing. It supports open models running locally (no APIs required)', and it closes 'MIT License - see LICENSE for details'. The scenario packs, rubric, auditor and judge configuration ship in the package; the only external dependency is the reader's own model API key if they choose to use one.
Adoption
1 medium confidencekelkalot/simpleaudit carries 20 GitHub stars and 9 forks, and describes itself as early-stage. That bands at fewer than 1K stars, level 1; stars cap a level at 3 in any case, because a star is not a use. No download, install or customer figure is published for this product, so stars are the only honest signal available and the level is directional.
- https://api.github.com/repos/kelkalot/simpleaudit recorded 2026-08-12
stargazers_count = 20 for kelkalot/simpleaudit
Capability
3 high confidenceA focused but functional red-teaming toolkit with a distinctive broken-premise mode. The README carries a validation section reporting AUROC of 0.89-1.00 for separating safe from unsafe responses, and a direct comparison against Petri, but this is still a single-purpose adversarial-probing tool rather than a general harness, which is what holds the score where it is.
- https://github.com/kelkalot/simpleaudit recorded 2026-06-22
README: adversarial probing, local-first, scenario packs, broken-premise runner
- https://raw.githubusercontent.com/kelkalot/simpleaudit/main/README.md recorded 2026-08-13
multilingual adversarial probing with local open models or optional API-hosted ones; a fixed default scenario pack, rubric, auditor, judge and sampling configuration so reruns are comparable; reported responsiveness of AUROC 0.89-1.00 across judge-auditor cells; results reported as a bundle rather than a leaderboard rank.
Verified 2026-08-12