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 Blackman99 · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-feishu-channel safe to install? View the security audit →
agent-feishu-channel Claude and Codex, natively in Feishu / Lark. A full coding-agent workflow — right inside your Feishu group chat. Migrating from ? The project was renamed to reflect multi-provider support (Claude + Codex). Run (or the npm equivalent). Command is now instead of . On first run, the state directory at will be auto-renamed to — session history is preserved. Config keys are unchanged. Features Dual providers — switch between Claude and Codex per config or per session Full coding agent — file editing, shell commands, search, plann
| Stars | 50 |
| Forks | 1 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 76.2397149432812/100 |
| Last Updated | 2026-04-16 |
| Created | 2026-04-10 |
| Platforms | claude-code, node |
| Est. Tokens | ~42k |
These tools work well together with claude-feishu-channel for enhanced workflows:
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claude-feishu-channel is Bridge Claude Code sessions to a Feishu (Lark) bot. It is categorized as a Agent Tool with 50 GitHub stars.
claude-feishu-channel is primarily written in TypeScript. It covers topics such as ai-agent, chatbot, claude.
You can find installation instructions and usage details in the claude-feishu-channel GitHub repository at github.com/Blackman99/claude-feishu-channel. The project has 50 stars and 1 forks, indicating an active community.
The top alternatives to claude-feishu-channel on Agent Skills Hub include feishu-claude-code, meridian, claude-prompts. 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: