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by basecamp · Agent Tool · ★ 277
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Basecamp CLI is the official command-line interface for Basecamp. Manage projects, todos, messages, and more from your terminal or through AI agents. Works standalone or with any AI agent (Claude, Codex, Copilot, Gemini) JSON output with breadcrumbs for easy navigation OAuth authentication with automatic token refresh Includes agent skill and Claude plugin Quick Start macOS / Linux / WSL2 Windows (PowerShell) That's it. You now have full access to Basecamp from your terminal. Other installation methods Brew / macOS Arch Linux / Omarchy (AUR): Linux (deb/rpm/apk): Arm64: substitute for in the filename. Verify the SHA-256 checksum from before installing unsigned Alpine packages. Scoop (Windows): bash scoop bucket add basecamp https:/
| Stars | 277 |
| Forks | 21 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.4559200239292/100 |
| Open Issues | 13 |
| Last Updated | 2026-09-19 |
| Created | 2026-01-09 |
| Platforms | cli, go |
| Est. Tokens | ~16k |
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basecamp-cli is Basecamp CLI and Agent Skills. It is categorized as a Agent Tool with 277 GitHub stars.
basecamp-cli is primarily written in Go. It covers topics such as agent-skills, basecamp.
You can find installation instructions and usage details in the basecamp-cli GitHub repository at github.com/basecamp/basecamp-cli. The project has 277 stars and 21 forks, indicating an active community.
basecamp-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to basecamp-cli on Agent Skills Hub include AIPex, AgentChat, SkillForge. 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: