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Expanso Secrets Scan

secrets scan

aronchick0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install aronchick/expanso-secrets-scan

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

来源信息

Source
github
Repository
openclaw/skills
Path
skills/aronchick/expanso-secrets-scan
Version
—
Commit
c115948473ed362e70820b294cff0d94dc3ed464
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

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...

来源内容

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...

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