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sensitive-info-protection敏感信息保护

Agent Skill

sensitive-info-protection 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,539

周安装

193

GitHub Stars

公开资料未说明

下载量

1,590
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sensitive-info-protection(敏感信息保护)
来源仓库:https://github.com/leefj0606/sensitive-info-protection
安装命令:
openclaw skills install sensitive-info-protection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sensitive-info-protection

简介

实时检测并防护用户交互中的敏感数据泄露。

  • 支持自定义正则规则与关键词报警机制。sensitive-info-protection 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 自动拦截 PII、密钥与财务信息外传行为。
  • 可集成至 CI/CD 流程实现代码级安全检查。
  • 误报率较高时建议人工复核白名单配置。

SKILL.md

name
sensitive-info-protection
description
Sensitive information real-time protection skill that automatically detects, alerts, and handles sensitive data in user interactions. Supports custom detection rules, external data source integration, and interactive processing. Use when you need to: (1) Scan text content for sensitive information, (2) Configure custom sensitive data detection rules, (3) Protect against accidental exposure of credentials, personal info, or business secrets.
metadata
openclaw
requires
bins

Sensitive Info Protection

Overview

A general-purpose sensitive information protection skill that provides real-time scanning, detection, and interactive handling of sensitive data in conversation content. It helps prevent accidental exposure of personal information, authentication credentials, and commercial secrets through configurable detection rules.

Core Capabilities

1. Sensitive Information Detection

  • Real-time scanning of user input and output content
  • Detection of multiple sensitive information types by default
  • Support for custom user-defined detection rules with regex patterns
  • Priority-based rule matching

2. Configuration Management

  • Built-in default sensitive type library with common patterns
  • Support for adding/removing/enabling/disabling custom rules
  • Rule priority adjustment for conflict resolution

3. External Data Integration

  • Import sensitive keyword/pattern lists from external data sources
  • Support for dynamic rule updates
  • JSON/YAML configuration format

4. Interactive Processing

  • Standardized output format for detection results
  • Clear operation options for user decision-making
  • Support for one-click desensitization or manual editing

Default Sensitive Types

Built-in detection for the following types:

  • api_key - API keys, access tokens, authentication credentials
  • credit_card - Credit card numbers
  • id_card - National ID card numbers (Chinese)
  • phone - Mobile phone numbers (Chinese)
  • email - Email addresses
  • bank_card - Bank card numbers
  • password - Password patterns in code or logs
  • secret - Commercial secrets, confidential information markers

Usage

Scanning Content for Sensitive Information

from scripts.detector import SensitiveDetector

detector = SensitiveDetector()
results = detector.scan(text_content)

if results:
    # Print detection results in standard format
    detector.print_results(results)
    # Wait for user decision to proceed
else:
    # No sensitive information detected
    pass

Adding Custom Rule

from scripts.models import DetectionRule

new_rule = DetectionRule(
    name="custom_secret",
    pattern=r"MY_SECRET=\w+",
    sensitivity="high",
    description="Custom secret pattern"
)
detector.add_rule(new_rule)

Loading Configuration from File

detector.load_config("path/to/config.json")

Output Format

When sensitive information is detected, the following format is used:

## 检测结果
- 敏感类型: [type]
- 位置: [start:end]
- 原文: [original content]
- 敏感度: [high/medium/low]

## 操作选项
1. 确认放行
2. 修改后发送
3. 取消发送

Resources

scripts/

  • detector.py - Main detection engine class
  • models.py - Data models for detection rules and results
  • cli.py - Command-line interface
  • default_rules.json - Built-in default detection rules

references/

  • configuration.md - Detailed configuration guide
  • api.md - API documentation for integration

assets/

  • default_config.json - Default configuration template

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.19%
按下载量换算1,243

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install sensitive-info-protection 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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