Super Personasiled Search

Build, debug, and extend the Connectify founder network platform (React/Vite frontend + Express backend + Redis cache + OpenAI ranking + Apify ingestion). Us...

This repo looks like a legitimate local development project for the Connectify app, but be cautious before running it with real secrets or production data. Specific points to check before you install/run: (1) Confirm the publisher/source (registry metadata says unknown but package.json points to a GitHub repo) and only use code from a trusted origin. (2) The SKILL.md expects OPENAI_API_KEY, REDIS_URL, and APIFY_TOKEN — provide these only in a local/isolated environment and never commit them. (3) Be aware that the app sends connection records to the OpenAI API for scoring/action suggestions; if those records contain sensitive PII, consider anonymizing or using a policy that permits such transmission. (4) Redis is used to store/read all connection:* keys — restrict access and avoid running this against a production Redis instance with other data. (5) If you enable real Apify/crawling, audit the ingestion code and required tokens first. If anything is unclear, ask the skill author for an explicit manifest listing required env vars and the canonical source/repo before proceeding.

Type: OpenClaw Skill Name: super-personal-search Version: 1.0.0 The 'Connectify' skill bundle is a networking analytics platform that uses React, Express, Redis, and OpenAI to score and suggest actions for professional connections. The code follows standard development practices, including environment variable management via 'dotenv', structured API responses, and Redis-based session caching. While there are minor technical inaccuracies, such as a non-existent OpenAI model name ('gpt-4.1-mini') in 'agent.js' and a performance anti-pattern using 'keys()' in 'redis.js', these appear to be unintentional development flaws rather than malicious intent. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found.