Rechercher

PythonReactSEOPDF
OpenClaw

Messageguard

MessageGuard: Outgoing Message Filter Skill

andrewandrewsen0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install andrewandrewsen/messageguard

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

MessageGuard: Outgoing Message Filter Skill

Purpose: MessageGuard filters outgoing text to prevent secret leaks and sensitive data exposure by using pattern-based detection and configurable actions (mask, block, or warn).

Advanced Configuration Options:

  • mode: Determines the global action for matched patterns. Options are:
    • mask: Replace sensitive data with the mask_char.
    • block: Prevent the message from being sent entirely.
    • warn: Allow the message but generate warnings.
  • mask_char: The character(s) used to replace sensitive content when mode is set to mask.
  • patterns: Define or customize regex-based detections. Built-ins exist for API keys, credentials, and more (e.g., AWS keys, JWTs). Add new patterns based on your requirements.
  • logging: Enable detections to be logged as structured JSON for monitoring, debugging, or compliance needs. Configure the log_path for the output location.
  • Custom Patterns: Users can define their custom patterns to override built-ins or extend functionalities. This supports regex and granular action control (mask, block, warn).

Installation

  1. Clone the repository: git clone git@github.com:AndrewAndrewsen/MessageGuard.git.
  2. Navigate to the directory. The skill is dependency-free, relying only on the Python standard library.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/andrewandrewsen/messageguard
Version
—
Commit
b63db32f7b9d5dbae8674e094552996322c5bd65
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
### MessageGuard: Outgoing Message Filter Skill

**Purpose**: MessageGuard filters outgoing text to prevent secret leaks and sensitive data exposure by using pattern-based detection and configurable actions (mask, block, or warn).

### Advanced Configuration Options:

- **`mode`**: Determines the global action for matched patterns. Options are:
  - `mask`: Replace sensitive data with the `mask_char`.
  - `block`: Prevent the message from being sent entirely.
  - `warn`: Allow the message but generate warnings.
- **`mask_char`**: The character(s) used to replace sensitive content when `mode` is set to `mask`.
- **`patterns`**: Define or customize regex-based detections. Built-ins exist for API keys, credentials, and more (e.g., AWS keys, JWTs). Add new patterns based on your requirements.
- **`logging`**: Enable detections to be logged as structured JSON for monitoring, debugging, or compliance needs. Configure the `log_path` for the output location.
- **Custom Patterns**: Users can define their custom patterns to override built-ins or extend functionalities. This supports regex and granular action control (mask, block, warn).

**Installation**
1. Clone the repository: `git clone git@github.com:AndrewAndrewsen/MessageGuard.git`.
2. Navigate to the directory. The skill is dependency-free, relying only on the Python standard library.

Skills associés

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

parakeet-stt

carlulsoe

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, o...

OpenClaw

feishu-process-feedback

carlzhao007

飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化...