Beav: 小红书 AI 运营工作台｜小红书采集、评论区下载、素材库、选题、AI写作、小红书全域解决方案，开箱即用，一键安装

Security audit verdict: SAFE · quality 50/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

About Beav

    Beav Formerly RedBox AI自媒体创作资产底座 Codex / Hermes / OpenClaw 接入 视频处理 改名通知：RedBox 现已更名为 Beav。 教程： Bilibili 视频教程 · YouTube 视频教程 该项目由 JambaHailar 一人独立开发 English 한국어

Compatible Skills

These tools work well together with Beav for enhanced workflows:

• content-pipeline — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
• awesome-gpt-image-2 — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
• mcp-image — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
• smart-illustrator — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
• lime — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

Beav alternative? Top 6 similar tools

Looking for a Beav alternative? If you're comparing Beav with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

• PraisonAI by MervinPraison · ⭐ 9.3k

  PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving

• tokscale by junhoyeo · ⭐ 5.7k

  🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with trillions of toke

• skillshare by runkids · ⭐ 2.8k

  📚 Sync skills, agents, MCP, plugins to all AI CLI tools with one command and simplify team sharing.

• autocontext by greyhaven-ai · ⭐ 1.3k

  a recursive self-improving harness designed to help your agents (and future iterations of those agents) succee

• n8n-claw by freddy-schuetz · ⭐ 550

  OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ

• manifest by mnfst · ⭐ 7.5k

  Connect Your Agents And Harnesses With Any Provider 🦚

More Codex Skill Tools

Explore other popular codex skill tools:

• superset ⭐ 15.5k
• humanizer ⭐ 57.5k
• refly ⭐ 7.5k
• nano-banana-pro-prompts-recommend-skill ⭐ 1.9k
• pi-skills ⭐ 2.5k
• skillkit ⭐ 1.5k
• ai-maestro ⭐ 835
• upskill ⭐ 762
• Claude-to-IM-skill ⭐ 2.9k
• learning-opportunities ⭐ 2.4k

Popular TypeScript Agent Tools

• n8n ⭐ 208.5k · MCP Server
• gemini-cli ⭐ 108.2k · MCP Server
• context7 ⭐ 63.6k · MCP Server
• UI-TARS-desktop ⭐ 39.2k · MCP Server
• chrome-devtools-mcp ⭐ 54.1k · MCP Server

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this