Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by shaharia-lab · Agent Tool · ★ 194
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is slackcli safe to install? View the security audit →
SlackCLI Disclaimer: This is an unofficial, open-source CLI tool for interacting with Slack. It is not affiliated with, endorsed by, or supported by Slack Technologies. Slack has an official CLI — see the Slack CLI documentation for the officially supported tooling. A fast, developer-friendly command-line interface tool for interacting with Slack workspaces. Built with TypeScript and Bun, it enables AI agents, automation tools, and developers to access Slack functionality directly from the terminal. Features 🔐 Dual Authentication Support: Standard Slack tokens (xoxb/xoxp) or browser tokens (xoxd/xoxc) 🎯 Easy Token Extraction: Automatically parse tokens from browser cURL commands 🏢 Multi-Workspace Management: Manage multiple Slack workspaces with ease 💬 Conversation Ma
| Stars | 194 |
| Forks | 49 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 76.5192709734741/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-23 |
| Created | 2025-11-09 |
| Platforms | cli, node |
| Est. Tokens | ~16k |
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slackcli is Slack CLI for humans and AI agents. Read, send, search and reply across one or many Slack workspaces from the terminal. No Slack app needed.. It is categorized as a Agent Tool with 194 GitHub stars.
slackcli is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, automation.
You can find installation instructions and usage details in the slackcli GitHub repository at github.com/shaharia-lab/slackcli. The project has 194 stars and 49 forks, indicating an active community.
slackcli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to slackcli on Agent Skills Hub include hcom, tokentop, agent-deck. 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: