10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
pii detect
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-pii-detectInspect 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.
Detect personally identifiable information (PII) in text
expanso-edge binary in PATH)clawhub install expanso-edge
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
expanso-cli job deploy https://skills.expanso.io/pii-detect/pipeline-cli.yaml
| File | Purpose |
|---|---|
skill.yaml |
Skill metadata (inputs, outputs, credentials) |
pipeline-cli.yaml |
Standalone CLI pipeline |
pipeline-mcp.yaml |
MCP server pipeline |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Detect personally identifiable information (PII) in text.
Scan text for sensitive personal data before processing, logging, or sharing. Essential for:
export OPENAI_API_KEY=sk-...
# Scan text for all PII types
echo "Contact John Smith at john@example.com or 555-123-4567" | \
expanso-edge run pipeline-cli.yaml
# Scan for specific types only
echo "SSN: 123-45-6789, Card: 4111-1111-1111-1111" | \
PII_TYPES="ssn,credit_card" expanso-edge run pipeline-cli.yaml
PORT=8080 expanso-edge run pipeline-mcp.yaml &
curl -X POST http://localhost:8080/detect \
-H "Content-Type: application/json" \
-d '{
"text": "Please contact jane.doe@company.com or call 555-987-6543",
"types": ["email", "phone"]
}'
| Variable | Required | Default | Description |
|---|---|---|---|
OPENAI_API_KEY |
Yes | - | OpenAI API key |
PII_TYPES |
No | all | Comma-separated types to detect |
PORT |
No | 8080 | HTTP port for MCP mode |
| Type | Description | Examples |
|---|---|---|
email |
Email addresses | john@example.com |
phone |
Phone numbers | 555-123-4567, +1 (555) 123-4567 |
ssn |
Social Security Numbers | 123-45-6789 |
credit_card |
Credit card numbers | 4111-1111-1111-1111 |
name |
Person names | John Smith, Jane Doe |
address |
Physical addresses | 123 Main St, New York, NY |
dob |
Dates of birth | 01/15/1990, January 15, 1990 |
ip_address |
IP addresses | 192.168.1.1, 10.0.0.1 |
Customer Support Ticket #12345
From: John Smith <john.smith@example.com>
Phone: (555) 123-4567
SSN: 123-45-6789
Please update my address to 123 Main Street, Boston, MA 02101.
My date of birth is March 15, 1985.
{
"f...
# pii-detect Detect personally identifiable information (PII) in text ## 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/pii-detect/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 |
# pii-detect
> Detect personally identifiable information (PII) in text.
Scan text for sensitive personal data before processing, logging, or sharing. Essential for:
- GDPR/CCPA compliance
- Log sanitization before storage
- Data loss prevention (DLP)
- Privacy-aware data pipelines
## Quick Start
### CLI Mode
```bash
export OPENAI_API_KEY=sk-...
# Scan text for all PII types
echo "Contact John Smith at john@example.com or 555-123-4567" | \
expanso-edge run pipeline-cli.yaml
# Scan for specific types only
echo "SSN: 123-45-6789, Card: 4111-1111-1111-1111" | \
PII_TYPES="ssn,credit_card" expanso-edge run pipeline-cli.yaml
```
### MCP Mode
```bash
PORT=8080 expanso-edge run pipeline-mcp.yaml &
curl -X POST http://localhost:8080/detect \
-H "Content-Type: application/json" \
-d '{
"text": "Please contact jane.doe@company.com or call 555-987-6543",
"types": ["email", "phone"]
}'
```
## Configuration
| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `OPENAI_API_KEY` | Yes | - | OpenAI API key |
| `PII_TYPES` | No | all | Comma-separated types to detect |
| `PORT` | No | 8080 | HTTP port for MCP mode |
## PII Types
| Type | Description | Examples |
|------|-------------|----------|
| `email` | Email addresses | john@example.com |
| `phone` | Phone numbers | 555-123-4567, +1 (555) 123-4567 |
| `ssn` | Social Security Numbers | 123-45-6789 |
| `credit_card` | Credit card numbers | 4111-1111-1111-1111 |
| `name` | Person names | John Smith, Jane Doe |
| `address` | Physical addresses | 123 Main St, New York, NY |
| `dob` | Dates of birth | 01/15/1990, January 15, 1990 |
| `ip_address` | IP addresses | 192.168.1.1, 10.0.0.1 |
## Example Output
### Input
```
Customer Support Ticket #12345
From: John Smith <john.smith@example.com>
Phone: (555) 123-4567
SSN: 123-45-6789
Please update my address to 123 Main Street, Boston, MA 02101.
My date of birth is March 15, 1985.
```
### Output
```json
{
"f...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.