scan-for-secrets 0.1
Summary
The `scan-for-secrets` 0.1 Python tool, released on April 5, 2026, helps users prevent accidental exposure of API keys and other sensitive information when sharing log files or other content. Developed by Simon Willison, the tool scans specified directories for literal secrets provided by the user, such as `$OPENAI_API_KEY`. It also detects common encodings of these secrets, including backslash and JSON escaping. Users can configure a `~/.scan-for-secrets.conf.sh` file to automatically feed a predefined set of secrets from various sources, like `llm keys get openai` or AWS credentials, into the scanning process. The tool was built using a README-driven development approach, with Claude Code assisting in its implementation via red/green TDD.
Key takeaway
For developers or content creators publishing detailed logs or code, you should integrate `scan-for-secrets` into your pre-publication workflow. This tool helps ensure that API keys or other sensitive credentials are not inadvertently exposed, even if they are encoded. Automating this scan with a configuration file will streamline your security checks and reduce the risk of data breaches.
Key insights
The `scan-for-secrets` tool prevents accidental secret exposure by scanning files for literal and encoded keys.
Principles
- Proactive secret scanning prevents data leaks.
- Automate secret detection for consistent security.
Method
Define desired tool behavior in a README, then use an AI assistant (Claude Code) with red/green TDD to implement the tool based on the specification.
In practice
- Scan log files before publishing.
- Configure `~/.scan-for-secrets.conf.sh` for recurring scans.
Topics
- Secret Scanning
- API Key Protection
- Python Security Tool
- README-driven Development
- Claude Code
Code references
Best for: Machine Learning Engineer, NLP Engineer, AI Engineer, Software Engineer, AI Security Engineer
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.