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 larksuite · Codex Skill · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-lark safe to install? View the security audit →
OpenClaw Lark/Feishu Plugin 中文版 | English This is the official Lark/Feishu plugin for OpenClaw, developed and maintained by the Lark/Feishu Open Platform team. It seamlessly connects your OpenClaw Agent to your Lark/Feishu workspace, enabling it to directly read from and write to messages, docs, bases, calendars, tasks, and more. Features This plugin provides comprehensive Lark/Feishu integration for OpenClaw, including: Additionally, the plugin supports: 📱 Interactive Cards: Real-time status updates
| Stars | 2,382 |
| Forks | 312 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.6285738372674/100 |
| Open Issues | 313 |
| Last Updated | 2026-07-22 |
| Created | 2026-03-09 |
| Platforms | node |
| Est. Tokens | ~15k |
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openclaw-lark is 飞书官方出品的 OpenClaw 飞书/Lark Channel 插件. It is categorized as a Codex Skill with 2.4k GitHub stars.
openclaw-lark is primarily written in TypeScript.
You can find installation instructions and usage details in the openclaw-lark GitHub repository at github.com/larksuite/openclaw-lark. The project has 2.4k stars and 312 forks, indicating an active community.
openclaw-lark is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openclaw-lark on Agent Skills Hub include refly, Claude-to-IM-skill, pi-skills. 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: