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 chattymin · Codex Skill · ★ 444
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is PokeTokenBar safe to install? View the security audit →
PokeTokenBar Your AI coding tokens, hatched into Pokémon — right in your menu bar. English · 한국어 · 日本語 PokeTokenBar turns the AI coding tokens you're already burning — Claude Code, Codex, Gemini CLI, Antigravity, OpenCode, Hermes Agent, Cursor, Grok CLI, Copilot CLI & Kiro CLI — into a growing Pokémon companion in your macOS menu bar. Spend tokens, hatch an egg, evolve it through its real evolution line, graduate it into your Pokédex, and start again. Underneath the companion it's a precise usage tracker — today's spend, cost, and official 5-hour / weekly limits, read straight from your local logs. Token usage is read directly from local Claude Code, Codex, Gemini CLI, Antigravity, OpenCode, Hermes Agent, Cursor, Grok CLI, Copilot
| Stars | 444 |
| Forks | 122 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.1134268827012/100 |
| Open Issues | 39 |
| Last Updated | 2026-09-18 |
| Created | 2026-06-15 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~19k |
These tools work well together with PokeTokenBar for enhanced workflows:
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PokeTokenBar is Use your tokens to raise, evolve, and collect Pokémon! 🥚. It is categorized as a Codex Skill with 444 GitHub stars.
PokeTokenBar is primarily written in Swift. It covers topics such as ai-coding, claude-code, codex.
You can find installation instructions and usage details in the PokeTokenBar GitHub repository at github.com/chattymin/PokeTokenBar. The project has 444 stars and 122 forks, indicating an active community.
PokeTokenBar is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to PokeTokenBar on Agent Skills Hub include cctop, TokenEater, Usage4Claude. 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: