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#+TITLE: Audit Tools by Christian Cleberg
#+AUTHOR: Christian Cleberg
#+OPTIONS: toc:nil
* 📊 Audit Tools by Christian Cleberg
Welcome to *Audit Tools* — a collection of open-source Python scripts and
resources designed to help auditors, risk professionals, and data analysts
automate common audit tasks and analytics.
Whether you're new to audit automation or an experienced tech-enabled auditor,
this toolkit offers practical, real-world examples you can use, customize, and
build upon.
* 📦 What's Inside
This repository contains Python scripts and templates for common audit
procedures and control testing activities, including:
- ✅ *Pseudo-Random Sampling*
- ✅ *GITC Extractions and Analysis*
- ✅ *Project Management Tracking & Visualizations*
- ✅ *Cloud Platform Analysis (planned)*
- ✅ *Audit AI Prompts & Guides (planned)*
The goal is to provide practical, easy-to-understand tools that auditors and
analysts can quickly deploy in their environments.
* 🚀 Getting Started
**Clone the Repository**
#+begin_src bash
git clone https://git.sr.ht/~cxc/audit-tools
cd audit-tools
#+end_src
**Install Dependencies**
/Required for Python scripts/
#+begin_src bash
pip install -r requirements.txt
#+end_src
**Run a Sample Script**
Example: Run the *Linux OS Report* tool.
#+begin_src bash
./os/linux/report/linux.sh
#+end_src
View the results in your terminal or within the file created by the script.
* 📖 Learn More
If you're new to audit analytics or Python scripting, start here:
- [[https://realpython.com][Python for Auditors]]
- [[https://audit-analytics.com][Audit Analytics 101]]
- [[https://pandas.pydata.org/docs/getting_started/][Intro to Pandas Documentation]]
Also, check out the =notebooks/= folder for interactive tutorials and use cases.
* 🤝 How to Contribute
Want to add your own audit scripts or improve existing ones? Contributions are
welcome!
**Ways to Help**
- Submit new Python scripts for audit use cases.
- Suggest enhancements or new features.
- Improve documentation or write beginner-friendly tutorials.
- Test existing tools on new datasets and report issues.
**To Contribute**
1. Fork this repo
2. Create a new branch:
#+begin_src bash
git checkout -b my-feature
#+end_src
3. Commit your changes:
#+begin_src bash
git commit -m 'Added new audit test'
#+end_src
4. Push to the branch:
#+begin_src bash
git push origin my-feature
#+end_src
5. Open a Pull Request
* 👤 About the Creator
Made with ❤️ by [[https://cleberg.net/][Christian Cleberg]].
I'm a technology assurance leader passionate about audit innovation, AI in
audit, and building practical tools for auditors and risk professionals.
* 📜 License
This project is licensed under the *GNU General Public License v3.0* — see the
[[file:LICENSE][LICENSE]] file for details.
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