Scan files and piped data for API keys and credentials using pattern-based rules.
npx skills add https://github.com/chainreactors/aiscan --skill proton
Please help me install this Agent Skill. Skill: proton Source: https://github.com/chainreactors/aiscan/tree/main/skills/proton Command: npx skills add https://github.com/chainreactors/aiscan --skill proton
Proton addresses the critical security risk of accidentally committing or exposing sensitive information like API keys, database credentials, and private keys within project files or data streams.
Use the proton skill to scan the current directory for high-severity secrets and output the findings in JSON format.
High-intent search queries and answers about installing and using this skill.
You can scan local directories, individual files, or piped data streams for secrets using pattern-based matching. It applies over 156 built-in rules to identify API keys, tokens, and credentials during security auditing or vulnerability assessments.
Secret leakage detection identifies sensitive information like API keys, database credentials, and private keys within project files. It uses pattern-based matching with template rules to prevent accidental exposure of credentials in code repositories or data streams.
Yes, you can filter scanning findings by severity, specific rule IDs, or custom regex patterns. This customizable filtering reduces noise and helps focus vulnerability assessments on high-risk credentials and tokens identified during the scan.
Yes, the scanner supports live data piped from other shell commands alongside local directories and individual files. It uses template-based rule sets to perform high-precision secret scanning across these diverse input environments.
You do not need custom rules to start; over 156 built-in rules provide high-precision scanning across diverse file types. However, customizable regex patterns and filtering allow you to refine detection for specific requirements.
You can output scanning findings in JSON format after running the scanner against your target directory or data stream. This structured output integrates with automated vulnerability assessment workflows for further analysis.
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dapperdiversGenerate structured markdown penetration test reports from JSON security scan findings.
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