OpenClaw

sanitize

Detect and redact PII from text files. Supports 15 categories including credit cards, SSNs, emails, API keys, addresses, and more — with zero dependencies.

agentward-ai0 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

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 agentward-ai/sanitize

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

AgentWard Sanitize

Detect and redact personally identifiable information (PII) from text files.

IMPORTANT — PII Safety Rules

Do NOT read the input file directly. It may contain sensitive PII.
ALWAYS use --output FILE to write sanitized output to a file.
Only read the OUTPUT file, never the raw input.
Only show the user the redacted output, never the raw input.
--json and --preview are safe — they do NOT print raw PII values to stdout.
The entity map (raw PII → placeholder mapping) is written to a separate sidecar file (*.entity-map.json) only when --output is used. Do NOT read the entity map file.

What it does

Scans files for PII — credit cards, SSNs, emails, phone numbers, API keys, IP addresses, mailing addresses, dates of birth, passport numbers, driver's license numbers, bank routing numbers, medical license numbers, and insurance member IDs — and replaces each instance with a numbered placeholder like [CREDIT_CARD_1].

Usage

Sanitize a file (RECOMMENDED — always use --output)

python scripts/sanitize.py patient-notes.txt --output clean.txt

Preview mode (detect PII categories/offsets without showing raw values)

python scripts/sanitize.py notes.md --preview

JSON output (safe — no raw PII in stdout)

python scripts/sanitize.py report.txt --json --output clean.txt

Filter to specific categories

python scripts/sanitize.py log.txt --categories ssn,credit_card,email --output clean.txt

Supported PII categories

See references/SUPPORTED_PII.md for the full list with detection methods and false positive mitigation.

Category	Pattern type	Example
`credit_card`	Luhn-validated 13-19 digits	4111 1111 1111 1111
`ssn`	3-2-4 digit groups	123-45-6789
`cvv`	Keyword-anchored 3-4 digits	CVV: 123
`expiry_date`	Keyword-anchored MM/YY	expiry 01/30
`api_key`	Provider prefix patterns	sk-abc..., ghp_..., AKIA...
`ema...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/agentward-ai/sanitize
Version: 1.0.0
Commit: c5637ddcb60a87d6ef9a6fcf7c2733085d82985d
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。

来源内容

SKILL.md

# AgentWard Sanitize

Detect and redact personally identifiable information (PII) from text files.

## IMPORTANT — PII Safety Rules
- Do NOT read the input file directly. It may contain sensitive PII.
- ALWAYS use `--output FILE` to write sanitized output to a file.
- Only read the OUTPUT file, never the raw input.
- Only show the user the redacted output, never the raw input.
- `--json` and `--preview` are safe — they do NOT print raw PII values to stdout.
- The entity map (raw PII → placeholder mapping) is written to a separate sidecar file (`*.entity-map.json`) only when `--output` is used. Do NOT read the entity map file.

## What it does

Scans files for PII — credit cards, SSNs, emails, phone numbers, API keys, IP addresses, mailing addresses, dates of birth, passport numbers, driver's license numbers, bank routing numbers, medical license numbers, and insurance member IDs — and replaces each instance with a numbered placeholder like `[CREDIT_CARD_1]`.

## Usage

### Sanitize a file (RECOMMENDED — always use --output)
```bash
python scripts/sanitize.py patient-notes.txt --output clean.txt
```

### Preview mode (detect PII categories/offsets without showing raw values)
```bash
python scripts/sanitize.py notes.md --preview
```

### JSON output (safe — no raw PII in stdout)
```bash
python scripts/sanitize.py report.txt --json --output clean.txt
```

### Filter to specific categories
```bash
python scripts/sanitize.py log.txt --categories ssn,credit_card,email --output clean.txt
```

## Supported PII categories

See `references/SUPPORTED_PII.md` for the full list with detection methods and false positive mitigation.

| Category | Pattern type | Example |
|---|---|---|
| `credit_card` | Luhn-validated 13-19 digits | 4111 1111 1111 1111 |
| `ssn` | 3-2-4 digit groups | 123-45-6789 |
| `cvv` | Keyword-anchored 3-4 digits | CVV: 123 |
| `expiry_date` | Keyword-anchored MM/YY | expiry 01/30 |
| `api_key` | Provider prefix patterns | sk-abc..., ghp_..., AKIA... |
| `ema...

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