Search

PythonReactSEOPDF
OpenClaw

Expanso Secrets Scan

secrets scan

aronchick0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install aronchick/expanso-secrets-scan

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

secrets-scan

Detect hardcoded secrets (API keys, tokens, passwords) in text or code

Requirements

  • Expanso Edge installed (expanso-edge binary in PATH)
  • Install via: clawhub install expanso-edge

Usage

CLI Pipeline
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
MCP Pipeline
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
Deploy to Expanso Cloud
expanso-cli job deploy https://skills.expanso.io/secrets-scan/pipeline-cli.yaml

Files

File Purpose
skill.yaml Skill metadata (inputs, outputs, credentials)
pipeline-cli.yaml Standalone CLI pipeline
pipeline-mcp.yaml MCP server pipeline

Source information

Source
github
Repository
openclaw/skills
Path
skills/aronchick/expanso-secrets-scan
Version
—
Commit
c115948473ed362e70820b294cff0d94dc3ed464
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

secrets-scan

Detect hardcoded secrets (API keys, tokens, passwords) in text or code.

Scan code, configs, and logs for accidentally committed credentials. Essential for:

  • Pre-commit hooks
  • CI/CD pipelines
  • Code review automation
  • Security audits

Quick Start

CLI Mode
export OPENAI_API_KEY=sk-...

# Scan a file
cat config.yaml | expanso-edge run pipeline-cli.yaml

# Scan before committing
git diff --cached | expanso-edge run pipeline-cli.yaml

# Scan entire codebase
find . -name "*.py" -exec cat {} \; | expanso-edge run pipeline-cli.yaml
MCP Mode
PORT=8080 expanso-edge run pipeline-mcp.yaml &

curl -X POST http://localhost:8080/scan \
  -H "Content-Type: application/json" \
  -d '{
    "text": "const API_KEY = \"sk-abc123def456\";",
    "types": ["api_key", "token"]
  }'

Configuration

Variable Required Default Description
OPENAI_API_KEY Yes - OpenAI API key
SECRET_TYPES No all Comma-separated secret types
PORT No 8080 HTTP port for MCP mode

Secret Types

Type Examples
api_key sk-xxx, AKIA..., api_key=...
token ghp_xxx, Bearer xxx
password password=xxx, pwd:xxx
private_key -----BEGIN RSA PRIVATE KEY-----
aws_key aws-xxx, aws_secret_access_key
github_token ghp_xxx, gho_xxx
slack_token slack-xxx
openai_key sk-xxx

Example Output

Input
const config = {
  apiKey: "sk-proj-abc123def456ghi789",
  database: {
    password: "supersecret123!"
  },
  aws: {
    accessKeyId: "YOUR_AWS_ACCESS_KEY_ID",
    secretAccessKey: "YOUR_AWS_SECRET_KEY"
  }
};
Output
{
  "findings": [
    {
      "type": "openai_key",
      "value": "sk-p...789",
      "line": 2,
      "severity": "high",
      "context": "OpenAI API key in apiKey field"
    },
    {
      "type": "password",
      "value": "supe...123!",
      "li...

Extracted content

SKILL.md
# secrets-scan

Detect hardcoded secrets (API keys, tokens, passwords) in text or code

## Requirements

- Expanso Edge installed (`expanso-edge` binary in PATH)
- Install via: `clawhub install expanso-edge`

## Usage

### CLI Pipeline
```bash
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
```

### MCP Pipeline
```bash
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
```

### Deploy to Expanso Cloud
```bash
expanso-cli job deploy https://skills.expanso.io/secrets-scan/pipeline-cli.yaml
```

## Files

| File | Purpose |
|------|---------|
| `skill.yaml` | Skill metadata (inputs, outputs, credentials) |
| `pipeline-cli.yaml` | Standalone CLI pipeline |
| `pipeline-mcp.yaml` | MCP server pipeline |
README
# secrets-scan

> Detect hardcoded secrets (API keys, tokens, passwords) in text or code.

Scan code, configs, and logs for accidentally committed credentials. Essential for:
- Pre-commit hooks
- CI/CD pipelines
- Code review automation
- Security audits

## Quick Start

### CLI Mode

```bash
export OPENAI_API_KEY=sk-...

# Scan a file
cat config.yaml | expanso-edge run pipeline-cli.yaml

# Scan before committing
git diff --cached | expanso-edge run pipeline-cli.yaml

# Scan entire codebase
find . -name "*.py" -exec cat {} \; | expanso-edge run pipeline-cli.yaml
```

### MCP Mode

```bash
PORT=8080 expanso-edge run pipeline-mcp.yaml &

curl -X POST http://localhost:8080/scan \
  -H "Content-Type: application/json" \
  -d '{
    "text": "const API_KEY = \"sk-abc123def456\";",
    "types": ["api_key", "token"]
  }'
```

## Configuration

| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `OPENAI_API_KEY` | Yes | - | OpenAI API key |
| `SECRET_TYPES` | No | all | Comma-separated secret types |
| `PORT` | No | 8080 | HTTP port for MCP mode |

## Secret Types

| Type | Examples |
|------|----------|
| `api_key` | sk-xxx, AKIA..., api_key=... |
| `token` | ghp_xxx, Bearer xxx |
| `password` | password=xxx, pwd:xxx |
| `private_key` | -----BEGIN RSA PRIVATE KEY----- |
| `aws_key` | aws-xxx, aws_secret_access_key |
| `github_token` | ghp_xxx, gho_xxx |
| `slack_token` | slack-xxx |
| `openai_key` | sk-xxx |

## Example Output

### Input
```javascript
const config = {
  apiKey: "sk-proj-abc123def456ghi789",
  database: {
    password: "supersecret123!"
  },
  aws: {
    accessKeyId: "YOUR_AWS_ACCESS_KEY_ID",
    secretAccessKey: "YOUR_AWS_SECRET_KEY"
  }
};
```

### Output
```json
{
  "findings": [
    {
      "type": "openai_key",
      "value": "sk-p...789",
      "line": 2,
      "severity": "high",
      "context": "OpenAI API key in apiKey field"
    },
    {
      "type": "password",
      "value": "supe...123!",
      "li...

Related skills

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.