hackerai — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by hackerai-tech · Agent Tool · ★ 719

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About hackerai

HackerAI Your AI-Powered Penetration Testing Assistant Getting started Prerequisites You'll need the following accounts: Required: OpenRouter - AI model provider OpenAI - Content moderation E2B - Sandbox environment for secure code execution in agent mode Convex - Database and backend WorkOS - Authentication and user management Trigger.dev - Required durable runtime for agent tasks Optional: Amazon S3 - File storage (alternative to Convex storage) Perplexity - Web search functionality Jina AI - Web URL content retrieval Redis - Stream resumption Upstash Redis - Rate limiting PostHog - Analytics Stripe - Payment processing Clone the repo bash git clone https://github.com/hackerai-

ai-agentsai-toolsnextjsreacttypescript

Quick Facts

Stars719
Forks180
LanguageTypeScript
CategoryAgent Tool
Quality Score65.9832797038402/100
Open Issues7
Last Updated2026-09-22
Created2025-08-09
Platformsnode
Est. Tokens~14k

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Frequently Asked Questions

What is hackerai?

hackerai is Find and fix vulnerabilities by chatting with AI. It is categorized as a Agent Tool with 719 GitHub stars.

What programming language is hackerai written in?

hackerai is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, nextjs.

How do I install or use hackerai?

You can find installation instructions and usage details in the hackerai GitHub repository at github.com/hackerai-tech/hackerai. The project has 719 stars and 180 forks, indicating an active community.

What are the best alternatives to hackerai?

The top alternatives to hackerai on Agent Skills Hub include shadcn-ui-mcp-server, fulling, dexto. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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