Hash Toolkit for Openclaw

A versatile utility for generating multi-algorithm hashes and perceptual signatures to manage content integrity and deduplication.

raghulpasupathi
v1.0.0
Feb 21, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install hash-toolkit

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 hash-toolkit 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 Hash Toolkit?

Hash Toolkit is a robust utility designed to empower developers and AI agents with advanced content hashing, verification, and deduplication capabilities. By integrating this tool into your Openclaw Skills library, you gain the ability to generate cryptographic signatures using MD5, SHA256, and SHA512 algorithms, ensuring the integrity and authenticity of data across your workflows.

Beyond standard cryptographic functions, the toolkit provides a mechanism for perceptual hashing. This allows your agents to identify content similarity rather than just exact bit-for-bit matches, which is essential for managing redundant data in dynamic environments. This skill is built to be lightweight, utilizing native cryptographic modules to deliver high-performance results within any Openclaw Skills implementation.

Hash Toolkit Use Cases

  • Detecting duplicate files or data entries in large datasets to optimize storage.
  • Verifying the integrity of code snippets or assets downloaded by automated agents.
  • Implementing fuzzy matching for content similarity detection using perceptual hashes.
  • Creating multi-hash metadata for assets to ensure cross-platform compatibility.
  • Preventing redundant processing of identical content in AI-driven pipelines.

How Hash Toolkit Works

  1. The skill accepts input data as either a standard string or a binary Buffer.
  2. It utilizes the chosen cryptographic algorithm to transform the input into a unique hexadecimal string identifier.
  3. For comprehensive tracking, the toolkit can generate a multi-hash object containing several algorithm outputs simultaneously.
  4. During deduplication, the generated hash is checked against a repository of known signatures to determine if the content has been seen before.
  5. Perceptual hashing normalizes input text—handling whitespace and case sensitivity—to generate a signature suitable for similarity comparison via character matching.

Hash Toolkit Setup

To deploy this utility, ensure your environment is configured to run Openclaw Skills. The toolkit relies on native Node.js modules, making it easy to install without external dependencies.

# Integrate the toolkit into your skills directory
cp hash-toolkit.js ./path/to/your/openclaw/skills/

You can configure the default hashing behavior in your configuration file:

{
  "defaultAlgorithm": "sha256",
  "enablePerceptual": true
}

Hash Toolkit Data Schema & Taxonomy

The Hash Toolkit produces structured data for both individual and batch hashing operations. Below is the schema for multi-hash generation:

Property Type Description
md5 string Fast MD5 hash for rapid identification
sha1 string SHA1 hash for legacy system support
sha256 string Secure SHA256 hash for primary identification
sha512 string Truncated 32-character SHA512 hash for high-entropy needs

When checking for duplicates, the skill returns an object containing the boolean isDuplicate status and the specific algorithm employed for the check.

Hash Toolkit Advanced Features

  • Multi-algorithm batching to generate MD5, SHA1, SHA256, and SHA512 in a single call.
  • Perceptual hashing for similarity detection, allowing agents to identify near-identical content.
  • Flexible data handling with support for both raw string inputs and binary Buffer data.
  • Similarity scoring logic to calculate the degree of match between two different perceptual hashes.
  • Optimized for integration with other Openclaw Skills for automated data cleansing and validation tasks.

SKILL.md


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