Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Content hashing for deduplication with MD5, SHA256, and perceptual hashing
Content hashing for deduplication with MD5, SHA256, and perceptual hashing
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Multi-algorithm hashing for content deduplication and verification.
const crypto = require('crypto'); /** * Generate hash using specified algorithm * @param {string|Buffer} content - Content to hash * @param {string} algorithm - Hash algorithm * @returns {string} Hash string */ function generateHash(content, algorithm = 'sha256') { const hash = crypto.createHash(algorithm); hash.update(Buffer.isBuffer(content) ? content : String(content)); return hash.digest('hex'); } /** * Generate multiple hashes at once */ function generateMultipleHashes(content) { return { md5: generateHash(content, 'md5'), sha1: generateHash(content, 'sha1'), sha256: generateHash(content, 'sha256'), sha512: generateHash(content, 'sha512').substring(0, 32) // Truncated }; } /** * Generate perceptual hash (for images/content similarity) * Simplified implementation */ function generatePerceptualHash(content) { // Simplified perceptual hash // In production: use actual perceptual hashing algorithm const normalized = String(content).toLowerCase().replace(/\s+/g, ' '); return generateHash(normalized, 'sha256').substring(0, 16); } /** * Check if content is duplicate based on hash */ function checkDuplicate(contentHash, knownHashes) { return { isDuplicate: knownHashes.has(contentHash), hash: contentHash, algorithm: 'sha256' }; } /** * Calculate similarity between two hashes * (for perceptual hashes) */ function calculateHashSimilarity(hash1, hash2) { if (hash1.length !== hash2.length) return 0; let matches = 0; for (let i = 0; i < hash1.length; i++) { if (hash1[i] === hash2[i]) matches++; } return matches / hash1.length; } // Export for OpenClaw module.exports = { generateHash, generateMultipleHashes, generatePerceptualHash, checkDuplicate, calculateHashSimilarity };
// Generate SHA256 hash const hash = skills.hashToolkit.generateHash(content, 'sha256'); // Generate multiple hashes const hashes = skills.hashToolkit.generateMultipleHashes(content); console.log(hashes.md5, hashes.sha256); // Check for duplicates const knownHashes = new Set(['abc123...']); const result = skills.hashToolkit.checkDuplicate(hash, knownHashes); if (result.isDuplicate) { console.log('Duplicate content detected'); } // Perceptual hash for similarity const phash = skills.hashToolkit.generatePerceptualHash(imageData);
{ "defaultAlgorithm": "sha256", "enablePerceptual": true }
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