No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by dennykim123 · Codex Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-codex-battery safe to install? View the security audit →
🔋 Claude & Codex Usage Battery A macOS menu bar widget that shows your remaining Claude Code and Codex usage limits as battery icons — so you never have to open again. = Claude · = Codex. Each battery shows the remaining % of a limit window — full & green means plenty left, red means almost out. Click for a detailed breakdown with reset times. Built as a single SwiftBar plugin — one self-contained script, no third-party libraries. The battery icons are rendered as PNGs from scratch in pure JavaScript ( only), so there's no image library and no . N
| Stars | 104 |
| Forks | 15 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72.9423735407052/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-03 |
| Created | 2026-07-08 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
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claude-codex-battery is macOS menu bar widget showing Claude Code & Codex usage limits as battery icons 🔋. It is categorized as a Codex Skill with 104 GitHub stars.
claude-codex-battery is primarily written in Swift. It covers topics such as anthropic, bun, claude-code.
You can find installation instructions and usage details in the claude-codex-battery GitHub repository at github.com/dennykim123/claude-codex-battery. The project has 104 stars and 15 forks, indicating an active community.
claude-codex-battery is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-codex-battery on Agent Skills Hub include usage, CodeIsland, vibe-island-updates. 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: