Secret Leak Guard
Locally scan your repository for leaked API keys, tokens, and secrets before committing or publishing code.
$15
Works with the AI Agents you already use
Secret Leak Guard
Example session with this skill installed
Check my current directory for any leaked API keys or secrets before I commit these changes.
- Read your context and instructions
- Compiled the secret leak guard
Found 2 potential secrets:
- .env:7 | AWS_SECRET_KEY | [REDACTED_AKIA...]
- src/config.js:12 | Stripe API Key | [REDACTED_sk_test...]
Total findings: 2. Please rotate these credentials before pushing.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
Secret Leak Guard provides a high-performance, local-first scanning layer to prevent credentials, API keys, and sensitive tokens from ever leaving your machine. It identifies high-entropy strings and known secret patterns within your codebase before they are pushed to remote repositories.
Why use this skill
Relying on generic LLM prompts for security is risky; they can miss subtle patterns or fail to prioritize leaked data correctly. This skill automates the detection process with precision, providing masked findings to ensure the AI agent itself doesn't inadvertently log the full secret. It is essential for maintaining compliance and preventing 0-day credential leaks.
Supported Environment
- Works across any local directory or Git repository
- Supports modern development environments like Cursor, Claude Code, and VS Code
- Optional JSON output for integration into CI/CD pipelines or custom developer workflows
- Zero network calls for scanning, ensuring complete data privacy
The Output
You receive a clean, actionable report of potential leaks, categorized by file and line number, with sensitive values safely masked for review.
- May produce false positives on high-entropy non-secret strings.
- Local scan only; does not verify if secrets are active.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Security scan
Security scan passed 6 months ago
- Software
Python