by runbear-io · Agent Tool · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install runbear-io/tap/beardrive # macOS (and Linuxbrew); installs the `bdrive` CLI
go install github.com/runbear-io/beardrive/cmd/bdrive@latest
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 62 |
| Forks | 5 |
| Language | Go |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 69/100 |
| Open Issues | 32 |
| Last Updated | 2026-11-04 |
| Created | 2026-06-12 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~27k |
BearDrive — Google Drive for AI agents BearDrive mounts any folder as a synced volume: its contents stay synchronized across all your devices and teammates through a BearDrive hub, every change is tracked (who, when, on which device), and everything keeps working offline.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: