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 simonlin1212 · Agent Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is globalpercent safe to install? View the security audit →
简体中文 | English globalpercent 全球宏观预期概率面板 — 2 数据源 · 5 端点 · 10 模块 · 零鉴权零账户 架构 · 快速开始 · 端点 · 模块 · FAQ · 更新日志 架构（一口气讲完） 全球宏观预期概率面板 · 数据管道 │ Polymarket Gamma API ─┐ ├─► 每个源的 fetcher 把每条市场整形成同一套 schema Kalshi events API ────┘ (question, probyes, change24h, volume24h, source, …) │ 共享 taxonomy 把每条分到一个模块 (货币政策/宏观经济/地缘政治/政治选举/股指大宗/A
| Stars | 75 |
| Forks | 18 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.4847125450767/100 |
| Last Updated | 2026-09-16 |
| Created | 2026-06-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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globalpercent is 全球宏观预期概率面板 (AI Skill) — Polymarket+Kalshi 双源 · 5端点 · 10模块 · 零鉴权 | Global-macro-probability panel skill for AI coding assistants (prediction-market data pipeline). It is categorized as a Agent Tool with 75 GitHub stars.
globalpercent is primarily written in Python. It covers topics such as ai-skill, claude-code, fastapi.
You can find installation instructions and usage details in the globalpercent GitHub repository at github.com/simonlin1212/globalpercent. The project has 75 stars and 18 forks, indicating an active community.
globalpercent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to globalpercent on Agent Skills Hub include polymarket-tennis, email-marketing-bible, orchestkit. 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: