A security-focused skill that identifies leaked secrets and hardcoded credentials across your codebase and repositories.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install credential-scanner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install credential-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Secret Scanner is an essential security skill designed to protect your development environment from accidental credential leaks. It proactively audits source code, configuration files, and entire repositories to find exposed API keys, database connection strings, and private tokens before they reach production. By integrating this tool into your workflow through Openclaw Skills, you can maintain a high security posture and prevent costly data breaches caused by hardcoded secrets.
This skill is optimized for modern development stacks, supporting over 40 distinct secret patterns including those from major cloud providers, AI platforms, and developer tools. It helps developers move beyond manual checks by providing automated, high-precision scanning with minimal false positives.
To get started with this skill in your environment, ensure you have Python 3.7+ installed. No external dependencies are required as the tool utilizes the Python standard library. Use the following commands to run scans via the Openclaw Skills interface:
# Scan a specific directory
python secret_scanner.py /path/to/project
# Run a scan and export to JSON for automation
python secret_scanner.py /path/to/project --json
# Save a security report to a markdown file
python secret_scanner.py /path/to/project --output report.md
The Secret Scanner organizes its output based on the detection patterns and severity. It focuses on the following data taxonomy:
| Attribute | Description |
|---|---|
| Pattern Category | Cloud (AWS/GCP), AI (OpenAI/Anthropic), Infrastructure (DB/SSH), or Generic. |
| Severity Level | Rated from Critical (active production keys) to Low (placeholder values). |
| Match Context | The specific line and file path where the potential leak was identified. |
| Remediation | Step-by-step guidance on rotating and removing the compromised secret. |
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