What problem does it solve?
This Skill eliminates the critical risk of hardcoded, leaked, or exposed secrets across source code, git history, infrastructure-as-code, container images, and CI artifacts that can lead to data breaches, unauthorized access, financial loss from AI provider key abuse, and compliance violations.
Core Features & Use Cases
- Multi-layer secret detection: Combines pattern matching, entropy analysis, and live upstream verification to catch known and custom secrets with high confidence.
- Full transitive surface scanning: Scans not just the working tree, but also git history, Docker image layers, IaC modules, lockfiles, and CI logs to find secrets that were deleted but never purged.
- Prioritized remediation guidance: Provides step-by-step rotation procedures for every major provider (AWS, GCP, Azure, Stripe, GitHub, AI providers) and git history rewrite instructions to remove exposed secrets from public history.
- Use Case: A development team preparing for a production release can use this Skill to scan their entire repository and git history for accidentally committed API keys, cloud credentials, and private keys, verify which are still active, and follow the provided rotation steps to eliminate breach risk before deployment.
Quick Start
Use the secrets-detector skill to scan your repository, full git history, and container images for leaked credentials, verify which are still active, and receive prioritized remediation and rotation guidance for each finding.