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Secret Scanner

Community
alirezarezvani
secret-scanner

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

Overview

Publisheralirezarezvani
Repositoryclaude-code-tresor
Skill namesecret-scanner
Stars
777
Forks
169
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Secret Scanner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/alirezarezvani/claude-code-tresor/tree/main/skills/security/secret-scanner
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-code-tresor.git /tmp/claude-code-tresor
mkdir -p .claude/skills
cp -r /tmp/claude-code-tresor/skills/security/secret-scanner .claude/skills/secret-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Secret Scanner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Secret Scanner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Secret Scanner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Secret Scanner Skill

Prevent accidental secret exposure in your codebase.

When I Activate

  • ✅ Before git commits
  • ✅ Files modified/saved
  • ✅ User mentions secrets, keys, or credentials
  • ✅ .env files changed
  • ✅ Configuration files modified

What I Detect

API Keys & Tokens

  • AWS access keys (AKIA...)
  • Stripe API keys (sk_live_..., pk_live_...)
  • GitHub tokens (ghp_...)
  • Google API keys
  • OAuth tokens
  • JWT secrets

Database Credentials

  • Database connection strings
  • MySQL/PostgreSQL passwords
  • MongoDB connection URIs
  • Redis passwords

Private Keys

  • SSH private keys
  • RSA/DSA keys
  • PGP/GPG keys
  • SSL certificates

Authentication Secrets

  • Password variables
  • Auth tokens
  • Session secrets
  • Encryption keys

Alert Examples

API Key Detection

javascript
// You type:
const apiKey = 'sk_live_1234567890abcdef';

// I immediately alert:
🚨 CRITICAL: Exposed Stripe API key detected!
📍 File: config.js, Line 3
🔧 Fix: Use environment variables
  const apiKey = process.env.STRIPE_API_KEY;
📖 Add to .gitignore: .env

AWS Credentials

python
# You type:
aws_access_key = "AKIAIOSFODNN7EXAMPLE"

# I alert:
🚨 CRITICAL: AWS access key exposed!
📍 File: aws_config.py, Line 1
🔧 Fix: Use AWS credentials file or environment variables
  aws_access_key = os.getenv("AWS_ACCESS_KEY_ID")
📖 Never commit AWS credentials

Database Password

yaml
# You type in docker-compose.yml:
environment:
  DB_PASSWORD: "mySecretPassword123"

# I alert:
🚨 CRITICAL: Database password in configuration file!
📍 File: docker-compose.yml, Line 5
🔧 Fix: Use .env file
  DB_PASSWORD: ${DB_PASSWORD}
📖 Add .env to .gitignore

Detection Patterns

Pattern Types

High Confidence:

  • Known API key formats (Stripe, AWS, etc.)
  • Private key headers
  • JWT tokens
  • Connection strings with credentials

Medium Confidence:

  • Variables named "password", "secret", "key"
  • Base64 encoded strings in sensitive contexts
  • Long random strings in assignments

Low Confidence (Flagged for Review):

  • Generic secret patterns
  • Potential credentials in comments

Git Integration

Pre-Commit Protection

bash
# Before commit, I scan:
git add .
git commit

# I block if secrets found:
🚨 CRITICAL: Cannot commit - secrets detected!
📍 3 secrets found:
  - config.js:12 - API key
  - .env:5 - Database password (in gitignore - OK)
  - auth.js:45 - JWT secret

❌ Commit blocked - remove secrets first

.gitignore Validation

I check if sensitive files are in .gitignore:

✅ .env - In .gitignore (good)
⚠️ config/secrets.json - NOT in .gitignore (add it!)
✅ .aws/credentials - In .gitignore (good)

False Positive Handling

Example Files

javascript
// I understand these are examples:
// Example: const apiKey = 'your_api_key_here';
// TODO: Add your API key from environment

Test Files

javascript
// Test fixtures are OK (but flagged for review):
const mockApiKey = 'sk_test_1234567890abcdef';  // ✅ Test key

Documentation

markdown
<!-- Documentation examples are flagged but low priority -->
Set your API key: `export API_KEY=your_key_here`

Relationship with security-auditor

secret-scanner (me): Exposed secrets and credentials security-auditor: Code vulnerability patterns

Together

secret-scanner: Finds hardcoded API key
security-auditor: Finds how the key is used insecurely
Combined: Complete security picture

Quick Fixes

Move to Environment Variables

javascript
// Before:
const apiKey = 'sk_live_abc123';

// After:
const apiKey = process.env.API_KEY;

// .env file (add to .gitignore):
API_KEY=sk_live_abc123

Use Secret Management

javascript
// AWS Secrets Manager
const AWS = require('aws-sdk');
const secrets = new AWS.SecretsManager();
const secret = await secrets.getSecretValue({ SecretId: 'myApiKey' }).promise();

Configuration Files

yaml
# docker-compose.yml
services:
  app:
    environment:
      - API_KEY=${API_KEY}  # From .env file

# .env (gitignored)
API_KEY=sk_live_abc123

Sandboxing Compatibility

Works without sandboxing: ✅ Yes (recommended) Works with sandboxing: ✅ Yes

  • Filesystem: Read-only access
  • Network: None required
  • Configuration: None required

Customization

Add company-specific secret patterns:

bash
cp -r ~/.claude/skills/security/secret-scanner \
      ~/.claude/skills/security/company-secret-scanner

# Edit SKILL.md to add:
# - Internal API key formats
# - Company-specific secret patterns
# - Custom detection rules

Best Practices

  1. Never commit secrets - Use environment variables
  2. Use .gitignore - Add .env, secrets.json, etc.
  3. Rotate exposed secrets - If committed, rotate immediately
  4. Use secret management - AWS Secrets Manager, HashiCorp Vault
  5. Audit regularly - Review code for exposed secrets

Emergency Response

If Secret Committed

  1. Rotate the secret immediately
  2. Remove from git history
    bash
    git filter-branch --force --index-filter \
      "git rm --cached --ignore-unmatch config/secrets.json" \
      --prune-empty --tag-name-filter cat -- --all
  3. Force push (coordinate with team)
  4. Update all deployments with new secret

Related Tools

  • security-auditor skill: Vulnerability detection
  • @code-reviewer sub-agent: Security review
  • /review command: Comprehensive security check

Frequently asked questions

What does the Secret Scanner AI skill do?

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

Why use Secret Scanner on TypingMind?

Because you install it once and use it with any model. Secret Scanner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Secret Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-code-tresor/tree/main/skills/security/secret-scanner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Secret Scanner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Secret Scanner?

As many as you like. As long as a model supports skills, you can use Secret Scanner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Secret Scanner AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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