by opgginc · Claude Skill · ★ 309
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install --cask opgginc/tap/opencode-bar
git clone https://github.com/opgginc/opencode-bar.gitTaken 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 | 309 |
| Forks | 6 |
| Language | Swift |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 76/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-07 |
| Created | 2026-01-18 |
| Platforms | claude-code, gemini |
| Est. Tokens | ~20k |
Automatically monitor all your AI provider usage from OpenCode in real-time from the macOS menu bar. Installation Homebrew (Easy) Download Download the latest file from the Releases page. Overview OpenCode Bar automatically detects and monitors all AI providers registered in your OpenCode configuration.
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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: