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 DBJD-CR · Codex Skill · ★ 277
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is astrbot_plugin_proactive_chat safe to install? View the security audit →
简体中文 日本語 <a href="https://de
| Stars | 277 |
| Forks | 16 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 59.6815347294356/100 |
| Open Issues | 11 |
| Last Updated | 2026-05-29 |
| Created | 2025-10-25 |
| Platforms | browser, codex, python |
| Est. Tokens | ~71k |
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astrbot_plugin_proactive_chat is 一个能让 Bot 在私聊和群聊中发起主动消息的插件，拥有上下文感知、持久化数据、动态情绪、免打扰时段和 TTS 集成。还有独立 WebUI，可进行个性化配置。 An AstrBot plugin that enables Bot to send proactive messages in private and group chats, featuring context awareness, . It is categorized as a Codex Skill with 277 GitHub stars.
astrbot_plugin_proactive_chat is primarily written in Python. It covers topics such as agent, ai, astrbot.
You can find installation instructions and usage details in the astrbot_plugin_proactive_chat GitHub repository at github.com/DBJD-CR/astrbot_plugin_proactive_chat. The project has 277 stars and 16 forks, indicating an active community.
astrbot_plugin_proactive_chat is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to astrbot_plugin_proactive_chat on Agent Skills Hub include astrbot_plugin_proactive_chat, cui, context-space. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: