Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by VirtusLab · Agent Tool · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cellar safe to install? View the security audit →
Cellar Look up the public API of any JVM dependency from the terminal. When a coding agent needs to call an unfamiliar library method, its options are bad: parse HTML docs (expensive, unreliable), find source on GitHub (requires knowing the URL), or hallucinate the API. Cellar gives agents — and humans — a single shell command that returns exactly the type signatures, members, and docs needed to write correct code. Output is plain Markdown on stdout, ready to be injected into an LLM prompt with zero post-processing. Supported artifacts Installation Coursier (recommended) If you have Coursier installed: This pulls the GraalVM native binary for your platform from the latest GitHub Release. Update with . Nix Run without installing: Install into your profile: A Nix overlay is also available at github:VirtusLab/cellar#overla
| Stars | 87 |
| Forks | 12 |
| Language | Scala |
| Category | Agent Tool |
| License | MPL-2.0 |
| Quality Score | 69.9934934192669/100 |
| Open Issues | 11 |
| Last Updated | 2026-09-02 |
| Created | 2026-02-22 |
| Platforms | cli |
| Est. Tokens | ~18k |
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cellar is CLI tool for coding agents and developers to query the public API of any Maven JVM dependency — get symbol signatures, list packages, search by name, and inspect dependency trees. Powered by Coursier . It is categorized as a Agent Tool with 87 GitHub stars.
cellar is primarily written in Scala.
You can find installation instructions and usage details in the cellar GitHub repository at github.com/VirtusLab/cellar. The project has 87 stars and 12 forks, indicating an active community.
cellar is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cellar on Agent Skills Hub include tutor-skills, repren. 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: