PLS Agent Tools
VerifiedProvides utilities for safe file handling, JSON/YAML editing, regex text processing, system commands, encoding, date/time, and validation tasks.
$ Add to .claude/skills/ About This Skill
# Agent Tools - Universal Utility Belt
A collection of practical utilities for everyday agent operations.
File Operations
Safe File Manipulation
Always use `trash` instead of `rm` when possible:
```bash trash /path/to/file # Safer deletion (recoverable) ```
Bulk File Operations
```bash # Rename files with pattern for f in *.txt; do mv "$f" "${f/.txt/.md}"; done
# Find and delete files older than 7 days find . -name "*.log" -mtime +7 -exec trash {} \;
# Copy with progress rsync -av --progress src/ dest/ ```
JSON/YAML Processing
JSON Operations (jq)
```bash # Pretty print jq '.' file.json
# Extract field jq '.field' file.json
# Update field jq '.field = "new_value"' file.json > tmp && mv tmp file.json
# Merge JSON files jq -s 'add' file1.json file2.json ```
YAML Operations (yq)
```bash # Read value yq '.key' file.yaml
# Update value yq '.key = "value"' -i file.yaml
# Convert YAML to JSON yq -o=json '.' file.yaml ```
Text Processing
Common Patterns
```bash # Search and replace in files sed -i '' 's/old/new/g' file.txt
# Extract matches grep -oP 'pattern' file.txt
# Count occurrences grep -c 'pattern' file.txt
# Remove duplicate lines sort file.txt | uniq > deduplicated.txt
# Extract column awk '{print $2}' file.txt ```
System Utilities
Process Management
```bash # Find process by name ps aux | grep process_name
# Kill by port lsof -ti:3000 | xargs kill -9
# Monitor resource usage htop ```
Network Operations
```bash # Check port availability lsof -i :PORT
# Download with retry curl --retry 3 -O URL
# Test endpoint curl -X POST -H "Content-Type: application/json" -d '{"key":"value"}' URL ```
Encoding/Decoding
```bash # Base64 encode/decode echo "text" | base64 echo "dGV4dAo=" | base64 -d
# URL encode/decode python3 -c "import urllib.parse; print(urllib.parse.quote('text'))" python3 -c "import urllib.parse; print(urllib.parse.unquote('text%20here'))"
# JSON escape/unescape jq -R . <<< 'string to escape' jq -r . <<< '"escaped string"' ```
Date/Time Utilities
```bash # Current timestamp date +%s
# ISO format date -u +"%Y-%m-%dT%H:%M:%SZ"
# Convert timestamp date -r 1234567890
# Timezone conversion TZ="America/Chicago" date ```
Validation Helpers
```bash # Validate JSON jq empty file.json && echo "Valid JSON"
# Validate YAML python3 -c "import yaml; yaml.safe_load(open('file.yaml'))" && echo "Valid YAML"
# Check JSON schema check-jsonschema --schemafile schema.json document.json ```
Quick Reference
| Task | Command | |------|---------| | Safe delete | `trash file` | | Find files | `find . -name "*.ext"` | | Search in files | `grep -r "pattern" .` | | Replace text | `sed -i '' 's/old/new/g'` | | JSON pretty | `jq '.'` | | YAML read | `yq '.key'` | | Port check | `lsof -i :PORT` | | Base64 decode | `base64 -d` |
Use Cases
- Monitor systems and processes for anomalies and performance issues
- Run automated tests to verify functionality and catch regressions
- Search and retrieve information from various data sources
- Generate smoke tests for rapid deployment verification
- Integrate PLS Agent Tools into existing development and automation workflows
Pros & Cons
Pros
- +Well-adopted with 1,400+ downloads showing reliable real-world usage
- +Clean CLI interface integrates well with automation pipelines and AI agents
- +Leverages AI models for intelligent automation beyond simple rule-based tools
- +Configurable parameters allow tuning for different quality and cost tradeoffs
Cons
- -Depends on external AI model APIs which may incur usage costs
- -Output quality varies based on input specificity and model capabilities
FAQ
What does PLS Agent Tools do?
What platforms support PLS Agent Tools?
What are the use cases for PLS Agent Tools?
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