hinge-rizz-agentOperate an already-open Hinge session in the browser or on iPhone to review profiles, triage the queue, analyze matches, draft respectful openers or replies,...
Install via ClawdBot CLI:
clawdbot install jdave211/hinge-rizz-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.OPENAIPotentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://rizzapi.vercel.appUses known external API (expected, informational)
api.openai.comGenerated Mar 21, 2026
A user wants to efficiently review Hinge profiles during a live session, needing help to open profiles, read prompts, and classify them as strong yes, maybe, or pass. The AI agent navigates the app, records hooks for messaging, and moves to the next profile without sending any messages autonomously.
A user needs help managing existing Hinge matches by summarizing conversations, identifying open loops, and drafting replies. The AI agent opens threads, analyzes context, and prepares responses, only sending them if autonomous mode is explicitly enabled by the user.
A user requests a quick analysis of a Hinge profile or conversation thread to get AI-generated insights and message suggestions. The agent captures a snapshot, runs analysis scripts for inspiration, and outputs structured recommendations without taking any sending actions.
A user wants to maintain a saved shortlist of promising Hinge profiles across sessions. The agent initializes a data directory, appends profiles with notes and openers to a markdown queue, and organizes them into act now or revisit later categories for future reference.
A user explicitly enables autonomous sending in their Hinge session, allowing the AI agent to review profiles, draft messages, and execute like, reply, or rose actions based on predefined modes like full_access or like_only, while adhering to ethical guidelines and confirmation rules.
Offer a monthly subscription service where users pay for access to the AI agent to help with Hinge profile triage, inbox management, and message drafting. Revenue is generated through tiered plans based on usage limits, such as number of profiles analyzed or messages sent per month.
Integrate the AI agent as a premium feature within existing dating apps like Hinge, providing basic browsing assistance for free and charging for advanced functionalities like autonomous sending, detailed analysis reports, or saved queue management to enhance user engagement and retention.
License the AI agent technology to dating coaches and relationship experts as a SaaS tool. They use it to efficiently manage client sessions on Hinge, offering services like profile optimization and conversation support, with revenue from software licensing fees and training packages.
💬 Integration Tip
Ensure the AI agent integrates seamlessly with live Hinge sessions via browser or iOS control, using bundled scripts for specific actions and maintaining user data locally in hinge-data/ to respect privacy and avoid bulk scraping.
Scored Apr 19, 2026
AI Analysis
The skill accesses sensitive dating app data and can execute actions on the user's behalf, but the primary risk stems from its ability to send user data to an undocumented external API (`rizzapi.vercel.app`) and execute shell commands, which could be repurposed. While the skill's stated purpose involves profile analysis, the external call is not fully justified or vetted.
Audited Apr 17, 2026 · audit v1.0
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...