sensitive-data-masker（敏感数据屏蔽器）

Sensitive Data Masker

Intelligent sensitive data detection and masking using Microsoft Presidio with SQLite + LRU cache storage.

Features

• ✅ Intelligent detection - Microsoft Presidio (NLP + rules)
• ✅ Fast storage - SQLite + LRU cache
• ✅ Local restoration - 7-day temporary mapping table
• ✅ Auto cleanup - Expired entries removed automatically
• ✅ 100% local - No external API required
• ✅ OpenClaw Hook - Automatic masking on message received

How It Works

User Message
    ↓
Channel Plugin (Feishu/Telegram/etc)
    ↓
OpenClaw Gateway (message:received)
    ↓
Sensitive Data Masker Hook ← Intercept here
    ↓
Presidio Detection (NLP + Rules)
    ↓
SQLite + Cache Store Mapping
    ↓
Masked Message
    ↓
Send to LLM API (Safe)
    ↓
Restore Before Task Execution
    ↓
Execute with Original Data

Detection Types

Installation

# Install dependencies
pip install presidio-analyzer presidio-anonymizer
python3 -m spacy download zh_core_web_sm

# Enable Hook
openclaw hooks enable sensitive-data-masker

# Verify
openclaw hooks check

Usage Examples

User sends:

My password is MySecret123, email is user@example.com

Masked (to API):

My password is [PASSWORD:f2ae1ea6], email is [EMAIL_ADDRESS:96770696]

Mapping stored (7 days):

{
  "f2ae1ea6": "password=MySecret123",
  "96770696": "user@example.com"
}

Local restoration (for task execution):

My password is MySecret123, email is user@example.com

Configuration

File: ~/.openclaw/data/sensitive-masker/config.json

{
  "enabled": true,
  "ttl_days": 7,
  "cache_size": 1000,
  "auto_cleanup": true,
  "cleanup_interval_hours": 1,
  "log_enabled": true,
  "encrypt_storage": false,
  "presidio": {
    "language": "zh",
    "entities": ["PHONE_NUMBER", "EMAIL_ADDRESS", ...],
    "custom_patterns": true
  }
}

Management Commands

# Test masking
python3 sensitive-masker.py test "my password=123"

# View statistics
python3 sensitive-masker.py stats

# Cleanup expired
python3 sensitive-masker.py cleanup

# Clear all mappings
python3 sensitive-masker.py clear

Performance

Cache hit rate: > 90% typical

Security Features

• ✅ File permissions: 600 (owner read/write only)
• ✅ SQLite transaction safety
• ✅ Auto-expiry cleanup
• ✅ LRU cache eviction
• ✅ Local storage only
• ✅ Optional encryption at rest

Architecture

Components

1. PresidioDetector - Microsoft Presidio integration
2. SensitiveMappingStore - SQLite + LRU cache
3. ChannelSensitiveMasker - Main masking logic
4. OpenClaw Hook - Gateway integration

Database Schema

CREATE TABLE mappings (
    mask_id TEXT PRIMARY KEY,
    original TEXT NOT NULL,
    data_type TEXT NOT NULL,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    expires_at TIMESTAMP NOT NULL,
    usage_count INTEGER DEFAULT 0
);

CREATE INDEX idx_expires_at ON mappings(expires_at);
CREATE INDEX idx_data_type ON mappings(data_type);

Files

sensitive-data-masker/
├── SKILL.md                    # This file (English)
├── SKILL.md                    # Chinese version
├── sensitive-masker.py         # Core script
├── handler.js                  # OpenClaw Hook
├── masker-wrapper.py           # Python wrapper
├── DESIGN.md                   # Design document
├── README.md                   # User guide
├── RESEARCH-EXISTING-SOLUTIONS.md  # Market research
└── _meta.json                  # Metadata

Version History

v1.0.0 (2026-03-03)

• Initial release
• Microsoft Presidio integration
• SQLite + LRU cache storage
• OpenClaw Hook support
• 7-day TTL mapping table
• Auto cleanup

Repository

Source: https://gitee.com/subline/onepeace/tree/develop/src/skills/sensitive-data-masker

License: MIT

Author: TK

Issues: https://gitee.com/subline/onepeace/issues

Credits

• Microsoft Presidio - https://github.com/microsoft/presidio
• spaCy - https://spacy.io/
• OpenClaw - https://github.com/openclaw/openclaw

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