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 qunqin24 · Codex Skill · ★ 299
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Pulse safe to install? View the security audit →
Pulse A lightweight, elegant screen-edge monitor for your AI coding allowances. Real-time remaining quotas and rate limits for Claude Code, Codex, Cursor, GitHub Copilot, Antigravity, Grok, and more. macOS 14 Sonoma or newer · Apple Silicon & Intel Universal · English · 简体中文 · 繁體中文 · 日本語 · 한국어 Pulse is an unobtrusive floating monitor that docks neatly al
| Stars | 299 |
| Forks | 32 |
| Language | Swift |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 60.7254162910125/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-30 |
| Platforms | claude-code, codex |
| Est. Tokens | ~18k |
These tools work well together with Pulse for enhanced workflows:
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Pulse is A floating macOS monitor for how much Claude Code, Codex, Antigravity, OpenCode Go and Kimi Code you have left. It is categorized as a Codex Skill with 299 GitHub stars.
Pulse is primarily written in Swift. It covers topics such as antigravity, appkit, claude-code.
You can find installation instructions and usage details in the Pulse GitHub repository at github.com/qunqin24/Pulse. The project has 299 stars and 32 forks, indicating an active community.
Pulse is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Pulse on Agent Skills Hub include TokenEater, TokenBar, aizen. 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: