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Secret Leak Detector

  • 206 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Scan repos, configs, logs, and agent outputs for exposed API keys, tokens, and credentials before commits, reviews, or production deploys.

About

Agent skill that scans codebases, logs, and generated artifacts for accidentally committed secrets like API keys, tokens, and passwords, helping teams block credential leaks during review and before launch.

  • API key and token detection
  • credential pattern matching
  • pre-commit and PR scanning
  • agent output review
  • leak remediation guidance

Secret Leak Detector by the numbers

  • 206 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #761 of 2,203 Security skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill secret-leak-detector

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Listed on Skillselion
Installs206
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Scan repos, configs, logs, and agent outputs for exposed API keys, tokens, and credentials before commits, reviews, or production deploys.

Files

SKILL.mdMarkdownGitHub ↗

Secret Leak Detector

Purpose and Intent

The secret-leak-detector is designed to safeguard repositories by identifying hardcoded sensitive information such as API keys, database credentials, and authentication tokens before they are committed or after they have been accidentally pushed to history.

When to Use

  • Pre-commit Checks: Run this skill before committing changes to ensure no secrets are being introduced.
  • CI/CD Pipelines: Integrate into automated pipelines to block builds that contain plain-text secrets.
  • Legacy Audits: Use with scan_history: true to perform a deep audit of a project's entire history to find secrets that were deleted but still exist in git logs.

When NOT to Use

  • Production Logs: This tool is for source code and config files; it is not optimized for scanning terabytes of runtime logs.
  • Binary Files: It will not effectively detect secrets inside compiled binaries or encrypted blobs.

Input and Output Examples

Input

directory_path: "./config"
scan_history: false

Output

{
  "leaks": [
    {
      "file": "config/production.yaml",
      "line": 45,
      "type": "Stripe Secret Key",
      "risk_level": "critical",
      "snippet": "sk_live_**********"
    }
  ]
}

Error Conditions and Edge Cases

  • False Positives: High-entropy strings in test data or encrypted hashes may be flagged as secrets.
  • Git Repository Required: If scan_history is true, the target directory must be a valid git repository.
  • Permission Denied: The skill will fail if it lacks read permissions for specific files or the .git directory.

Security and Data-Handling Considerations

  • No Persistence: This skill does not store the secrets it finds.
  • Masking: Output snippets are masked to prevent the tool itself from becoming a source of leaks in logs or terminal history.
  • Local Execution: The skill runs locally and does not phone home or upload code to third-party services.

Related skills

Securitysecretsappsecaudit

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