Filter for Openclaw

A dedicated rule-based filtering skill designed to eliminate information noise and preserve high-value signals in your workflows.

projectsnowwork
v1.1.0
Mar 10, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install filter

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install filter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Filter?

Filter is a robust tool within the Openclaw Skills library that empowers developers to manage information overload. It provides a structured framework for creating reusable logic that applies to various data streams like email triage, news feeds, and complex search results. By leveraging local rule storage, this skill ensures that your AI agents interact only with the most relevant data points.

This skill is particularly effective for those who need to maintain clean, high-signal environments for their automated processes. Whether you are managing structured task streams or large JSON datasets, the Filter skill provides the necessary precision to keep your workflows efficient and noise-free.

Filter Use Cases

  • Automated email triage and inbox management.
  • News feed cleanup to focus on high-priority industry signals.
  • Search result refinement to exclude low-quality sources.
  • Narrowing task streams in complex project management workflows.
  • Filtering structured JSON data for easier analysis.

How Filter Works

  1. Identify the specific content stream or data type that requires noise reduction.
  2. Define filter criteria such as keywords, patterns, or data structures.
  3. Assign a priority level and specify the rule type as an allowlist or blocklist.
  4. Save the configuration to the local rules.json file for persistent use.
  5. Integrate the rule set into your active Openclaw Skills pipeline to automatically refine incoming data.

Filter Setup

To begin using this skill, ensure you have python3 installed on your machine. The skill relies on a specific local configuration file for storing your rule sets.

# Create the required configuration directory
mkdir -p ~/.openclaw/workspace/memory/filter/

# Initialize the rules file
echo '[]' > ~/.openclaw/workspace/memory/filter/rules.json

Filter Data Schema & Taxonomy

The skill organizes its data within a JSON structure that tracks rule logic and application metadata. Below is the primary data structure breakdown:

Attribute Description
rules.json The primary local storage file for all user-defined filters.
Criteria The specific patterns or strings used for matching content.
Priority A numeric value used to determine which rules are applied first.
Content Type Categorization such as email, news, or search to group relevant rules.

Filter Advanced Features

  • Priority-based filtering to resolve logic overlaps automatically.
  • Support for complex allowlists and blocklists to ensure high-fidelity signal capture.
  • Localized rule storage ensuring that your data processing logic remains private and accessible.
  • Seamless integration as a pre-processing layer for other Openclaw Skills in your automated workflows.

SKILL.md


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