by komako-workshop · Claude Skill · ★ 906
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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 | 906 |
| Forks | 180 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-26 |
| Created | 2026-03-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
English | 中文 Digital Oracle 📈 Digital Oracle 是一款让 AI Agent 基于从海量金融数据中,挖掘出宏观事件发展趋势的开源 Skill。 适用于 OpenClaw / Claude Code / Cursor / Codex。 我们生活在一个噪音极度泛滥的时代。社交媒体上充斥着情绪化的预测 — 有人说房价要崩了,有人说黄金要上天,有人说明天就打仗。这些观点往往顺应人群情绪,而不是基于客观数据的理性分析。 但交易数据不一样。 价格是绝对理性的 — 当一个人要把自己的钱押在某个结果上时,他会比发一条短视频认真很多。 这就是有效市场理论的核心洞察:所有公开信息都已经被价格消化了。一切信息都在 K 线里。 Digital Oracle 把这个洞察变成了一个可执行的工具。它接入了 13 个权威金融数据源 — 从 Polymarket 和 Kalshi...
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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: